PhD Students

Current PhD Students :

  1. Tata Sudiyanto
  2. Iwan Awaludin
  3. Marzuki
  4. Maria Shusanti Febrianti
  5. Duddy Soegiarto
  6. Ahmad Antares Adam
  7. Ismail
  8. Hanif Fakhrurroja
  9. Catur Wirawan Wijiutomo
  10. Astri Novianty
  11. Tahan M T N L Tobing
  12. Hendy Irawan
  13. Ari Yuliati
  14. Simon Siregar
  15. Reza Aulia Yulnandi
  16. Muhammad Aria Rajasa Pohan
  17. Hilda Widyastuti
  18. Devira Anggi Maharani
  19. Ari Wibowo
  20. Wira Munggana
  21. Agung Nugroho Jati
  22. Yaqub Aris Prabowo
  23. Fabiola Maria Theresa R Kinasih
  24. Natsir Habibullah
  25. Ignatius Prasetya Dwi Wibawa
  26. Endang Darwati
  27. Wakhyu Dwiono
  28. Handoko Supeno

Former PhD students :

  1. Ali Sadyoko
  2. Bayu Erfianto
  3. Bomo Wibowo Sanjaya
  4. Elisati Hulu
  5. Fadhil Hidayat
  6. Fadjar Rahino Triputra
  7. Harry Septanto
  8. Ida Bagus Budiyanto
  9. Judhi Santoso
  10. Lenni Yulianti
  11. Muhammad Nur Kholish A. R.
  12. Redi Ratiandi Yacoub
  13. Rina Mardiati
  14. Seno Adi Putra
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Publications 2014

[box_info]International Journal[/box_info]
[box_info]International Conference[/box_info]
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International Conference 2014

  • Muhammad N. Abdurrazaq, Budi Rahardjo, Bambang Riyanto, “Improving Performance of Network Scanning Detection Through PCA-Based Feature Selection”, International Conference of Information Technology Systems and Innovation (ICITSI) 2014
  • Harry Septanto, Riyanto T. Bambang, Arief Syaichu-Rohman, Ridanto Eko Poetro, “Attitude Consensus using Quaternion-based Controller Composing Augmented Dynamic”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Rahmad Mahdibar , Agung Harsoyo, Yoga Priyana, “Voice-based Interaction Design Digital Radio System in A Car based on Drivers’s and Passengers’ Behaviours”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Atep Setya T. Afandi, Hilwadi Hindersah, Aciek, “Design and Implementation of Turn-Based Strategy (TBS) Game as Part of Service- Based Alternate Reality Game (ARG)”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Made Widhi Surya Atman, Bambang Riyanto Trilaksono, “Gain-Scheduling Design for Three-loop Attitude Control System”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Petrus Fajar Subekti, Ary Setijadi P, Arief Syaichu Rohman, “Design and Implementation of Machine Vision for Board Game in Lumen Social Robot System”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Sebastian Adi Nugroho, Ary Setijadi Prihatmanto, Arief Syaichu Rohman, “Design and Implementation of Kinematics Model and Trajectory Planning for NAO Humanoid Robot in a Tic-Tac-Toe Board Game”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Feri Siswoyo Hadisantoso, Hilwadi Hindersah, Estiko Rijanto, Ary Setijadi Prihatmanto,”Design And Implementation Of Intelligent Defending Heuristic Algorithm For Small- Size League Robosoccer System”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Andri Setiyoso, Hilwadi Hindersyah, Agus Purwadi, Arwindra Rizqiawan, “Design of Traction Motor 180kW type SCIM for KRL (EMU) Jabodetabek Re‐Powering Project”, 2014 IEEE Joint International Conference on Electrical Engineering and Computer Science and the Second International Conference on Electric Vehicular Technology 24-25 November 2014, Bali, Indonesia
  • Arinata Fatchun Ilmiawan, Dito Wijanarko, Ahmad Husnan Arofat, Hilwadi Hindersyah, Agus Purwadi, “An Easy Speed Measurement for Incremental RotaryEncoder Using Multi Stage Moving Average Method”, 2014 IEEE Joint International Conference on Electrical Engineering and Computer Science and the Second International Conference on Electric Vehicular Technology 24-25 November 2014, Bali, Indonesia
  • Adji Gunhardi, Dimitri Mahayana, Pranoto Hidaya Rusmin, “Route Planner Application for Container Trucks Using Ant Colony Algorithm and MATLAB GUI”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Harry Septanto, Bambang Riyanto, Arief Syaichu Rohman, Ridanto Eko Poetro, “Attitude Consensus using Quaternion-based Controller Composing Augmented Dynamic”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Rahmad Mahdibar , Agung Harsoyo, Yoga Priyana, “Voice-based Interaction Design Digital Radio System in A Car based on Drivers’s and Passengers’ Behaviours”, International Conference on System Engineering and Technology, 24-25 November 2014, Bandung, Indonesia
  • Abudurrazaq, Bambang Riyanto, B. Rahardjo, “Distributed Intrusion Detection System Using Cooperative Agent Based on Ant Colony Clustering”, IEEE Joint International Conference on Electrical Engineering and Computer Science (ICEECS) and the Second International Conference on Electric Vehicular Technology (ICEVT) 24-25 November 2014, Bali, Indonesia.
  • Oetomo, Bambang Riyanto, “Distributed Consensus of Humanoid Robot”, International Conference on Intelligent Unmanned Systems, Montreal, 2014
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Bridge Simulator Hardware Development

Bridge Simulator Hardware Development

1. Bridge Description
FEA bridge is made based on miniature steel frame bridge, the geometry of the steel frame bridge can be seen in the following figure 1.

bridge frame
Figure 1. Geometry Bridge Steel Frame (in cm)

The steel frame comprises a 3cm elbow profile with 1.5mm thick, and a steel plate as a vehicle floor with 2.5 mm steel plate thickness. Connect plate using plate with 4mm kebetabalan, with 8mm diameter connector bolt.

 

2. FEA Bridge Simulation
FEA models and simulations of miniature steel frame bridges are performed using the 2015 CSi Bridge application. The details of the modeling will be described as follows.

2.1 Model Element Development
There are two types of elements in the bridge miniature model, the steel frame defined as the frame element, and the steel plate defined as the element area of ​​the FEA model (See Figure 2).

steel frameSteel flat

(a) (b)

Figure 2. (a) Steel Frame For Element Frame In FEA Model and (b) Steel Plate In The Element Area In FEA Model

 

2.2 Element Properties Definition
The properties of each element can be defined in the FEA model. In this miniature bridge, frame material is used in the form of elbow steel, and steel plate. The material properties used in the FEA model can be seen in the following Table I.

Table steel

 

2.3 Model Element Construction
Each frame and plate elements are then arranged according to the geometry of the bridge miniature. The plate element is connected to the steel frame structure through the nodal point at the end of the frame element on the steel frame structure. The connection to the steel frame structure on the bridge miniature is connected by bolts, so in the FEA model it is assumed that the connections of each frame do not withstand the rotation (pin connection). FEA model elements consisting of frames and plates that have been prepared are as Figure 3.

Figure 3

Figure 3. Finite Element Bridge Model

 

3. Loading
The loading on the miniature bridge consists of static loads which are the bridge’s own weight (steel frame frame and steel plate) and rubber sheet (7 kg / m2) placed on a steel plate. In addition to static loads, miniature bridges are also provided with moving vehicle loads from the Scania remote control scale of 1:14. Miniature bridge placement using joint-roll placement.

Figure 4

Figure 4. FEA Bridge Placement and Sensor Location

 

4. Bridge Model Analysis
Some analyzes of the FEA Bridge model are carried out with some variation in truck weight and speed, mimicking the conditions on the miniature bridge in the laboratory. The work of bridge model analysis will be explained as follows.

4.1 Static and Dynamic Analysis
After making the FEA model of the bridge, a static analysis was performed on the miniature bridge. From the static analysis, the miniature bridge was able to withstand its own weight and live load (a point load) of 300 kg in the middle of the bridge span. While the largest stress ratio that occurs on the steel frame is 0.848. So the bridge is able to withstand the static load that occurs.

Figure 5

Figure 5. Stress Ratio On Static Analysis Miniature Bridge.
As for dynamic analysis, bridge response analysis is done due to moving vehicle load. Acceleration data from FEA miniature bridge due to moving vehicle load can be seen in the following Figure 6.

Figure 6

Figure 6. Dynamic Model of FEA Bridges Due to Moving Vehicle Expenses.

 

4.2 Frequency Analysis
Frequency analysis is also carried out by taking the natural frequencies of each mode that occur in the FEA model of the bridge. Frequency analysis will be used to validate the FEA model of the bridge. From frequency analysis results on CSi Bridge, natural frequencies are generated in the first 4 (four) modes of the FEA model of the bridge which can be seen in the following Figure 7.

Figure 7

Figure 7. FEA Bridge’s Mode Shape.

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Publications

Publications

  1. S. A. Putra, B. R. Trilaksono, A. Harsoyo, and A. Imam, “Agent-Based Structural Health Monitoring System on Single Degree of Freedom Bridge: A Preliminary Study”, in 2015 International Conference on Information Technology Systems and Innovation, Bandung Indonesia, 2015.
  2. S. A. Putra, B. R. Trilaksono, A. Harsoyo, and A. Imam, “Conceptual Design of Multi-agent System for Suramadu Bridge Structural Health Monitoring System”, Telkomnika, Vol.13, No.3, September 2015, pp. 1079-1088
  3. S. A. Putra, B. R. Trilaksono, A. Harsoyo, and A. Imam, “Multiagent System In-Network Processing in Wireless Sensor Network”, International Journal on Electrical Engineering and Informatics, Vo, 10, No. 1, march 2018, pp. 94-107.
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Project References

Project References

  1. A. A. Islam, F. Li, H. Hamid, and A. Jaroo, “Bridge Condition Assessment and Load Rating Using Dynamic Response”, Technical Report for The Ohio Department of Transportation, office of Statewide Planning and Research, Youngstown State University, 2014.
  2. Z. Alam, G. Wang, J. Cao, and J. Wu, “Deploying Wireless Sensor Network with Fault-Tolerance for Structural Health Monitoring”, IEEE Transaction on Computer, pp. 382-395, 2015.
  3. C. Tschope and M. Wolff, “Statistical Classifiers for Structural Health Monitoring”, IEEE Sensors Journal, pp. 1567-1576, 2009.
  4. R. Bajwa, “Wireless Weigh-In-Motion: Using Road Vibration to Estimate Truck Weights”, Ph.D. Thesis, Electrical Engineering and Computer Sciences University of California, Berkeley, 2013.
  5. R. V. Kulkarni, F. Anna, and G. K. Venayagamoorthy, “Computational Intelligence in Wireless Sensor Networks: A Survey”, IEEE Communications Surveys & Tutorials, vol. 13, no. 1, pp. 68-96, 2011.
  6. K. Shah, M. D. Francesco, and M. Kumar, “Distributed Resource Management in Wireless Sensor Network Using Reinforcement Learning”, Wireless Network, vol. 19, no. 5, p. 705-724, 2012.
  7. D. Ye and M. Zhang, “A Self-Adaptive Sleep/Wake-Up Scheduling”, IEEE Transactions on Cybernetics, pp. 1-14, 2017.
  8. A. Montoya, D. C. Restrepo, and D. A. Ovalle, “Artificial Intelligence for Wireless Sensor Network Enhancement”, Smart Wireless Sensor Networks, pp. 73-81, 2010.
  9. M. Guijarro, R. Fuentes-Fernandez, and G. Pajares, “A Multiagent System Architecture for Sensor Network”, Multiagent Systems Modeling, Control, Programming, Simulations, and Applications, Croatia: InTech, 2011, pp. 23-40.
  10. F. Aiello, A. Carbone, G. Fortino, and S. Galzarano, “Java-Based Mobile Agent Platform for Wireless Network Sensor”, The International Multiconference on Computer Science and Information Technology, 2010.
  11. X. Wang, M. Chen, T. Kwon, and H. C. Chao, “Multiple mobile agents’ itinerary planning in wireless sensor networks: survey and evaluation”, IET Communications, vol. 5, no. 12, p. 1769-1776, 2011.
  12. P. Charalampos K, “Effective Determination of Mobile Agent Itineraries for Data Aggregation in Sensor Networks”, IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 12, pp. 1679-1693, 2010.
  13. M. Chen, L. T. Yang, T. Kwon, L. Zhaou, and M. Jo, “Itinerary Planning for Energy-Efficient Agent Communication in Wireless Sensor Network”, IEEE Transactions on Vehicular Technology, vol. 60, no. 7, pp. 3290-3299, 2011.
  14. M. Sharawi, I. A. Saroit, H. El-Mahdy, and E. Emary, “Routing Wireless Sensor Networks Based On Soft Computing Paradigms: Survey”, International Journal on Soft Computing, Artificial Intelligence and Applications, vol. 2, no. 4, pp. 21-36, 2013.
  15. N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-Efficient Routing Protocol in Wireless Sensor Network: A Survey”, IEEE Communication Surveys and Tutorials, vol. 15, no. 2, pp. 551- 591, 2013.
  16. H-D. Shih, X. Zhang, D. S. L. Wei, K. Naik, and R.C. Chen, “Design and Implementation of Mobile Sensor Network Testbed Using SunSPOTs”, International Journal of Future Computer and Communication, Vol. 2, No. 2, vol. 2, no. 2, pp. 115-120, 2013.
  17. M. Lydon, et al., “Development of a Bridge Weighted-in-Motion Sensor: Performance Comparison Using Fiber Optic and Electric Resistance Strain Sensor System”, IEEE Sensors Journal, pp. 4284- 4296, 2014.
  18. E. Sazonov, H. Li, D. Curry, and P. Pillay, “Self-Powered Sensor for Monitoring of Highway Bridge”, IEEE Sensor Journal, pp. 1422-
    1429, 2009.
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Project Meetings

Project Meetings

1. Meeting with PT. Jasa Marga Cipularang Toll (Indonesia Highway Operator)

IMG-20180302-WA0010-1 IMG-20180302-WA0007

 

2. Kick Off Meeting between Institute of Technology Bandung and Pusjatan

IMG-20180419-WA0004 IMG-20180419-WA0005

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Institution Partnership and Researcher

Institution Partnership and Researcher Team

Bambang Riyanto Trilaksono Prof. Bambang Riyanto Trilaksono
Laboratory for Control and Computer System
School of Electrical Engineering and Informatics
Institute of Technology Bandung
Dr dina Dr. Dina Shona Laila
Coventry University
Muhammad_Riyansyah Dr. Muhammad Riyansyah
Structure Engineering
Faculty of Civil Engineering and Environment
Institute of Technology Bandung
Seno Adi Putra Seno Adi Putra, S.Si., M.T
Laboratory for Control and Computer System
School of Electrical Engineering and Informatics
Institute of Technology Bandung
gatot_sukmara Gatot Sukmara, S.T, M.T
PUSJATAN
photo Dr. Faris Elasha
Coventry University

Involved Students:

  1. Pratama Budi Wijayanto (Master Degree Student in Civil and Environment Enginenering)
  2. Adi Trisna Nuewijaya (Bachelor Degree Student in School of Electrical Engineering and Informatics)
  3. Abikarami Anandadiga (Bachelor Degree Student in School of Electrical Engineering and Informatics)
  4. Gede Agus Andika Sani (Bachelor Degree Student in School of Electrical Engineering and Informatics)

Institute of Technology Bandung

Institut Teknologi Bandung (ITB) or Insitute of Technology Bandung was founded on March 2, 1959. The present ITB main campus is the site of earlier engineering schools in Indonesia. Although these institutions of higher learning had their own individual characteristics and missions, they left influence on developments leading to the establishment of ITB.

In 1920, Technische Hogeschool (TH) was established in Bandung, which for a short time, in the middle forties, became Kogyo Daigaku. Not long after the birth of the Republic of Indonesia in 1945, the campus housed the Technical Faculty (including a Fine Arts Department) of Universitas Indonesia, with the head office in Jakarta. In the early fifties, a. Faculty of Mathematics and Natural Sciences, also part of Universitas Indonesia, was established on the campus.

In 1959, the present lnstitut Teknologi Bandung was founded by the Indonesian government as an institution of higher learning of science, technology, and fine arts, with a mission of education, research, and service to the community.

Government Decree No. 155/2000 pertaining to The Decision on ITB as Legal Enterprise (Badan Hukum) has opened a new path for ITB to become autonomous. The status of autonomy implies a freedom for the institution to manage its own bussiness in an effective and efficient way, and to be fully responsible for the planning and implementation of all program and activity, and the quality control for the attainment of its institutional objective. The institution has also freedom in deciding their measures and taking calculated risks in facing tight competition and intense pressures.

Coventry University

Coventry University (CU) is among the higher ranking universities in the UK. Engineering, including mechanical engineering and civil engineering, is the main strength of CU, which was formerly the most prominent technical polytechnics in the UK. Transport, mobility and infrastructure is among the prime research themes at CU, which is the home of the National Transport Design Centre and the Transport and Mobility Research Centre, with which the CU researchers are affiliated.

CU also has a strong representation in Indonesia, with one of its international office in Jakarta. The co-applicant, Dina Shona Laila (DSL) is a leading researcher in control and instrumentation. She is one of the most active researchers in this area in the UK, with rich experience in leading and delivering various research and development projects. Faris Elasha (FE) is an expert in fault detection and vibration analysis. The expertise and skills of the researchers are crucially important to deliver the proposed project.

The roles: CU researchers will provide technical expertise in instrumentation, signal processing, fault detection and control, support the training requirement for the Indonesian partner and lead the development of the Civionics training/workshop modules. They will also lead the reporting and dissemination of the project outcomes. Existing collaboration: While this collaboration is new, DSL is a native Indonesian and an ITB alumnus. DSL familiarity with Indonesia education system will assure smooth and effective communication within this collaboration.

Long term vision: Bridge health monitoring and management is a crucial infrastructure issue in Indonesia, which currently is still lacking. Therefore, sustainable development of national technical capability and independency in bridge monitoring system, and improving the management strategy, including the safety standard, will be a long term project that needs to be carried out. It is the long term vision of this partnership to be play the main role in the R&D, and possibly the production, of local bridge monitoring systems, and to provide training in this field of engineering. Besides R&D, ITB and CU have been in communication to develop join degree programmes. This project is a mean to realize this long term R&D and education partnership plan.

 

PUSJATAN

Institute of Road Engineering (IRE / PUSJATAN) is a government authority body under the Research and Development Agency (RDA), Ministry of Public Works and Public Housings (MPWPH) of Indonesia, that is responsible for the maintenance and management of roads and bridges in Indonesia. Establish since 1925 IRE has the main function to conduct R&D, and to develop standard, guidelines and manuals for road and bridges in Indonesia.

The main objective of this partnership is to explore affordable embedded system and wireless sensor network (WSN) technology for effective bridge monitoring and early warning. Therefore, IRE is naturally the most suitable partner for this project. Its participation is particularly important, as be able to carry out this project, access to information, data, and field work to a real bridge is necessary. In this programmes IRE researchers/engineers will provide expertise in structural engineering, including testing and analysis, and also road & bridge management. IRE will also provide information and data and permission to access GEOSAN Bridge that will used for the field work location. IRE will also provide facilities for the measurement and fieldwork as in kind contribution which is a great added value to the project.

Existing collaboration: Both ITB and IRE are located in Bandung, West Java. IRE and ITB, particularly the Department of Civil Engineering, also have a number of collaborations in research, development and training. Collaboration between LSKK ITB and IRE in this bridge health monitoring study has also been initiated, although it is still at an early stage.

Long term vision for this partnership: Bridge health monitoring and management is a crucial infrastructure issue in Indonesia, which currently is still lacking. Therefore, sustainable development of national technical capability and independency in bridge monitoring system, and improving the management strategy, including the safety standard, will be a long term project that needs to be carried out. It is the long term vision of this partnership to be play the main role in the R&D, and possibly the production, of local bridge monitoring systems, and to provide training in this field of engineering.

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Project Planning

Project Planning

WBS

This project combines the collaboration Model 2 (Deliver training in research methods for industry-oriented projects) and Model 3 (Collaborative Research Projects undertaken with Industry in partnership with both UK and The Partner Country’s universities).

Bridges are among the most important infrastructure to support social and economic activities in a region. It is even more so in Indonesia, an archipelago with many rivers crossing the land, which also lies along the most active part of the Pacific “ring of fire”, with a large number of active volcanoes and frequent earthquake occurrences. These natural challenges, plus the lack of adequate bridge monitoring and management, often result in bridge collapses with fatal consequences. Existing bridge monitoring systems are costly, and technological solution alone is not enough. It is more important to implement whole-life bridge management and to build local capability to perform the management ensuring the infrastructure’s sustainability.

This research aims to explore affordable technology for effective bridge monitoring in Indonesia, utilizing embedded system and wireless sensor networks (WSN) technology and to initiate training for researchers and engineers in this field of embedded technology for structure health monitoring applications. Novel methods to monitor the health condition of a bridge, to determine its rating, based on the detection of moving loads will be explored, and local processing using the wireless sensor network (WSN) technology will be exploited. The experience and skills gained from this interdisciplinary collaboration will be documented, and used for knowledge exchange and knowledge transfer through publications, workshop and short course for local researchers and engineers. The project will foster strong partnership among collaborators, grow local expertise in bridge monitoring technology and improve local capability in bridge monitoring and management.

Breakdown tasks within this proposed collaboration:

WP1
Project Management (ITB Lead): including coordination of regular progress meetings and regular reporting, recruitment and training provision for the researchers/technicians working on this project, and organizing impact activities. This WP will also handle the visit arrangements for ITB researchers to visit the UK for training purposes and the Coventry University researchers to visit Indonesia (to ITB and IRE) for to deliver the workshop and get involved in the field work activities. Deliverables: project reports and coordination of activities.

WP2
Research and development of the technical hardware, which is divided into two main activities.

WP2.1
the design and development of the lab scale bridge simulator (ITB Civil Lead). A steel girder bridge model/simulator will be built in ITB campus. Down-scaled dimension from real bridge (GEOSAN Bridge or Rajamandala Bridge) will be used to realize this model. This bridge model will be used to test the monitoring device and the WSN system, and also be used for training purposes. Some structural damages will also be induced to the model. This feature is very important to test monitoring system, as functional real bridges will not have damages. It is also very important for the training, so that students will be able to observe the damages on the model. Deliverables: Bridge Model/Simulator

WP2.2
the design and implementation of the health monitoring system (ITB LSKK Lead). Embedded system and wireless network sensor technology will be used in this design and implementation. Weigh in motion (WIM) sensors and accelerators will be used to detect the weight and speed of moving loads, in this case large vehicles, passing the bridge and also the vibration. The sensing information is used to determine the health rating of the bridge. The data will be sent to the sensor node and processed at the node, rather than being sent to the server, for energy efficiency and faster decision making for early warning function. Embedded system solution from National Instruments (NI) will be used in this implementation. Thus, this WP will be done in collaboration with National Instruments, who will contribute to the technical expertise and the equipment. NI products are chosen for the quality and affordability, its existing support to Coventry University research/education and global representability including in Indonesia. Deliverables: Monitoring and communication system prototype

WP3
Data Collection and Field Test (IRE lead): After lab testing of the prototype, improvement/modification are done if necessary, making the prototype ready for field test. This task is crucial to test the system in terms of sensors positioning, measurement accuracy, reliability and durability in real operation scenarios. This prototype is to be installed on GEOSAN Bridge, which is an instrumented bridge located within the IRE complex, which is chosen due to its instrumentation that support the prototype to be tested and the easy access of the location. Deliverables: Complete risk assessment for the project, Test results and Data

WP4
Dissemination of outputs and impact activities (CU Lead): including the preparing publications of the research outputs for conference and journal submissions, preparing workshop materials and coordinating the workshop activity plan. Deliverables: Journal and conference articles, and workshop materials While this particular collaboration is new, the partnership between ITB and IRE is not built from scratch as the two institutions have had a number of past and on-going collaborations in various research, training and development projects. Moreover, CU which has a significant representation in Indonesia with its international office in Jakarta, also the Engineering Faculty at CU has several research and education collaborations with ITB.

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Goals, Objectives, Outcomes and Impacts

Goals, Objectives, Outcomes and Impacts

Goals and Objectives

  1. Technical objective: to propose a workable and affordable solution for bridge health monitoring, by employing multi agent system paradigm in wireless sensor networks to design the monitoring system with the following specific features:
    1. Using WSN featuring accelerometer sensor for determining bridge health rating based on in network processing.
    2. Using weigh in motion (WIM) to classify vehicle types in order to determine significant event for scheduling bridge rating measurement.
    3. Using WIM and accelerometer within the WSN to measure bridge capacity.
  2. Capability and skills development: To build local capability in Civionics (a multidisciplinary field combining civil engineering, electronics and software engineering) in Indonesia as well as in the UK, particularly through research and innovation, and developing training in embedded systems and WSN technology for bridge health structure monitoring applications.
  3. Fostering partnership: To foster and strengthen multidisciplinary collaboration between the partnering institutions (ITB, Coventry University and PUSJATAN/IRE) and more generally between the UK and Indonesia, in the field of infrastructure monitoring, which is very important and current field for both countries, in improving infrastructure availability, thus economical resilience and public welfare of the countries involved. This project is expected to lead to an excellent and sustainable bilateral partnership between Indonesia and the UK in research education and development in Civionics.

 

Outcomes

  1. A hardware prototype of the bridge monitoring system solution with its detailed technical documentation to allow for further development. This will develop capacity of ITB and CU researchers in the conduct of industry-oriented research.
  2. Training materials for postgraduate students or practical engineers on bridge heath monitoring and management technology. The training will enhance the capacity to undertake collaborative research projects with industry and to solve practical problems on bridge heath monitoring and management.
  3. Publications & dissemination during the course of the project: Peer reviewed journal articles (targets: J. Bridge Engineering and Proc. ICE – Bridge Engineering) and conference papers (targets: Int. Bridge & Structure Management Conf., Civil Engineering Conf. in the Asian Region).
  4. Improved links between ITB, CU and IRE, and wider research communities.

 

Impacts

Project impacts to various stakeholders:

  1. The research team, and other UK and Indonesian researchers: as archipelagos, Indonesia and the UK have common interest in this research topic. This research will bring closer collaboration between the research team and other UK and Indonesian researchers in the related field, and the outcome of this project is expected to also motivate technological and industrial development collaborations between the two countries.
  2. General public or regular bridge users: The existence of healthy, safe and well managed bridge infrastructure allow convenient travel for public to do daily economical activities and allow children to go to school and access better education facilities. It also allow easier access to hospitals, markets, and other facilities. Bridges also make rural areas more accessible, allowing agriculture products to be transported easier to the city, building materials to be transported between areas that will support and speed up development in the rural areas. The availability of the infrastructure also provides higher economic confidence and bring more societal stability to the region.
  3. The government or the authority who are responsible to the region where the bridges are located: The outcome of the project will help the authority to manage the infrastructure. As bridges, together with roads, are among the most important infrastructure, this will also help the authority to keep the social and economic stability of the region.
  4. The owners, developers or the maintainers of the infrastructure: having a low cost and low maintenance warning and monitoring system will help owners, developers and facility management in their tasks, and also to reduce the maintenance cost, while improving quality. This, in turn will provide cost saving that allow funding to develop further facilities/infrastructure.
  5. Other UK, Indonesian and international researchers: the multidisciplinary nature of this research and the possibility to transfer the methods and technology from this research to other applications opens large opportunities not only to the research team, but also other UK and Indonesian researchers, as well as researchers from other countries, to build further collaborations in all the areas related to this multidisciplinary research.
  6. Other researchers, students and public with interest to the subject, through training and knowledge transfer developed from this project.
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