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RAMS of Railway Infrastructure A Review Rachmad Indrakusuma; Yunendar Aryo Handoko
Jurnal Teknologi dan Manajemen Vol 4, No 2 (2023): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2023.v4i2.4544

Abstract

RAMS is crucial for assuring the correct functioning of railway transportation, which is a critical mode of transit for both passengers and products. The paper provides a comprehensive overview of the components and theory of RAMS and highlights commonly used methods in each discipline. The benefits and sustainability of RAMS and complementary disciplines such as Life Cycle Cost (LCC) are also discussed. The integration of RAMS and LCC can provide railway companies and passengers with numerous benefits. The RAMS methodology consists of four essential components: availability, maintainability, safety management, and reliability. While implementing RAMS, businesses must consider potential obstacles such as limited data and resources. To foster an environment conducive to RAMS implementation, businesses need government and industry support. Future research must be conducted on optimizing assets across the entire railway system, and RAMS and LCC requirements must be digitized within the asset system.
Curving Performance Analysis of a Freight Train Transporting 50-Meter-long Rail Using Multibody Dynamics Simulation Prasidya Wikaranadhi; Yunendar Aryo Handoko
Journal of Engineering and Technological Sciences Vol. 55 No. 2 (2023)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2023.55.8

Abstract

Long rails are normally used in highspeed railways to minimize the number of rail joints and the dynamic impact force that follows. However, transporting long rails using a freight train requires multiple wagons for each rail section, presenting potential safety and loading gauge issues, especially when going through curves. Thus, a safety assessment needs to be done prior to actual transport. Computational simulation can be used for preliminary assessment. Finite element analysis can be used to incorporate the flexibility of the rails into the analysis but requires significant manpower and computer power to perform. In this study, an alternative method to model rail flexibility using a multibody approach is presented. The rails are sectioned into multiple rigid bodies along their length and interconnected using rotational joints. The stiffness coefficient of the joints is defined as a function of the actual rail’s physical properties. This modelling technique results in a simplified multibody model that retains the original rail elastic properties. Simulations of the constructed rail model hauled using a freight train were done and the results were compared to on-track test measurements of the same configuration. The comparison generally showed good agreement, showing this modelling technique’s ability and accuracy to simulate the case.
REVIEW OF SPEED PROFILE OPTIMIZATION METHODS FOR ENERGY EFFICIENCY IN TRAIN Abdillah, Kusuma; Gunawan , Leonardo Gunawan; Handoko , Yunendar Aryo Handoko
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1640

Abstract

Improving energy efficiency in the transportation system is an important goal in facing the challenges of climate change and limited energy resources. Electric trains are a promising alternative for reducing greenhouse gas emissions and dependence on fossil fuels. Speed profile optimization has been a significant research focus on achieving maximum energy efficiency in electric trains. This paper aims to provide insight into energy efficiency using speed profile optimization.  Several issues were discussed in this paper including energy consumption modeling methods, speed profile optimization methods, and integration of speed profile optimization with schedules and regenerative braking. This study concluded that the most frequently used energy consumption modeling is the deterministic model using the Davis equation. There are two classifications in optimization: classical and modern methods (heuristics). Classical optimization methods are often used on problems with simple constraints, and modern methods are often used on problems with more complex constraints or variables.
API-579 Fitness for Service Assessment of Pig Launcher Pipeline on Bulge Defect Condition: A Case Study Ramadhan, Fakih Ilham; Arief, Tria Mariz; Handoko, Yunendar Aryo; Saputro, Andy; Maulana, Mochamad Irvan
ROTASI Vol 26, No 3 (2024): VOLUME 26, NOMOR 3, JULI 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.3.37-43

Abstract

Fitness for service (FFS) is the standard assessment procedure to evaluate an operation's worthiness of static equipment due to its defect condition. FFS ensures a safety aspect of operation and produces a strategic action due to a defect occurring on an object. During a regular inspection activities at oil and gas plant, four bulges were found on a pig launcher pipeline. The FFS assessment following the API-579 standard was conducted as a case study. The initial assessment result shows that the bulge defect's geometrical aspect did not comply the required criteria. Then, a stress analysis assessment was conducted which showed that the safety factor and the elastic stress criteria were successfully fulfilled. This concludes that the stress occurred in the pipeline is still in its elastic deformation region. However, the failure of remaining strength factor acceptance criteria to be fulfilled shows that there was a degradation of pipeline capability to be loaded with the operating pressure. This whole assessment concludes that rerate remediation should be taken before the pipeline is reoperated by decreasing the maximum allowable operating pressure from 9,27 MPa to 8,22 MPa.
Reliability improvement of railway vehicles: a review Arfiansyah, Oky; Handoko, Yunendar Aryo
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 3, No 1 (2024): June
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v3i1.18994

Abstract

Railway vehicles are mobile parts of the operating basis on railways that are used for the movement on the track. Reliability is an important factor in the operation of railway vehicles as they play an important role in ensuring the safety and efficiency of railway operations. The complexity of subsystem structures can affect vehicle reliability, and failure or damage to components can lead to operational disruption or system failure. Reliability improvement techniques focus on minimizing failures, reducing unplanned downtime, and ensuring efficient and safe operation of railway vehicles. These techniques include maintenance strategies, design optimization, spare parts management, training, skilled management, and reliability analysis. This paper aims to discuss these reliability improvement techniques globally and specifically examine the performance of railway vehicles in Indonesia. Prioritizing reliability improvement is applied to minimize unexpected breakdowns and failures, thereby improving passenger experience, punctuality, and safety. By reducing disruptions, reliability improvements contribute to smooth train travel, minimizing delays, and creating a safer environment. In addition, improved reliability in railway transportation systems increases efficiency, benefiting passenger satisfaction, economic growth and development. Safe, reliable, and efficient transportation facilitates the movement of goods and people, encourages trade and enhances regional connectivity, ultimately supporting sustainable economic development.
Review On Layout Optimization For Rollingstock Maintenance Depot Kartikaningtyas, Dela Safitri; Raharno, Sri; Handoko, Yunendar Aryo
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i1.17307

Abstract

This review paper discusses the importance of having an optimal layout for rollingstock maintenance depots to optimize rollingstock maintenance in improving maintenance efficiency and reducing maintenance costs while maintaining the availability and reliability of railway vehicles. The current problems in rollingstock maintenance depots faced by railway industry are limited land availability, limited storage space, material handling issues, and the lack of standards for train maintenance depot layouts. The paper also presents classification criteria and categories on layout planning and maintenance optimization approach for rollingstock maintenance depots based on various recent studies including the methods used and the results obtained. Finally, this review paper proposes guidelines for future research on rollingstock maintenance depots in Indonesia as decision-making that considers the economic factors of layout optimization and the implications for safety and the environment of maintenance activities. This could also help improve the company's reputation as well as prepare for future expansion
Pemodelan dan Simulasi Dinamik Kereta Tilting pada Lintas Kereta Api Eki Dwi Juliansyah Putra; Yunendar Aryo Handoko; Indria Herman
Jurnal Penelitian Transportasi Darat Vol. 24 No. 1 (2022): Jurnal Penelitian Transportasi Darat
Publisher : Sekretariat Badan Kebijakan Transportasi, Formerly by Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/jptd.v24i1.2024

Abstract

ABSTRACTTilting Train Dynamic Modeling and Simulation on Jakarta – Bandung Railway : Train is a mode of mass transportation that connects Jakarta to Bandung or vice versa with a travel time of three and a half hours. If trains pass many curves on the railway, they need to reduce their speed to avoid excessive lateral acceleration. In the curves, cant is given to overcome this, but its magnitude is limited by the regulations. Tilting train can be a solution to overcome the limitation by tilting the carbody. In this research, tilting train is modeled using Universal Mechanism software. The tilting system is modeled by an actuator as a joint which its length is a function of time. The model is validated by comparing the value of the analytical parameter based on the theory with the value of the simulation results. Furthermore, the dynamic simulations using the validated model is carried out to test the tilting system in several curve geometry scenarios. Based on the simulation results, the tilting system works well in reducing the carbody lateral acceleration, but is not optimal because it is not equipped yet with a control system. The plan to increase the speed of the train on the Jakarta – Bandung railway to reduce travel time was prepared analytically and tested by the simulations for several curves. Ignoring track irregularities, the tilting train is planned to operate with an average speed of 112 km/h so that the Jakarta – Bandung railway can be reached in less than two hours.Keywords: Tilting Train, Speed, Lateral Acceleration, The Jakarta – Bandung Railway.ABSTRAKKereta api menjadi moda transportasi massal yang menghubungkan pergerakan masyarakat dari Jakarta menuju Bandung ataupun sebaliknya dengan waktu tempuh selama tiga setengah jam. Dengan jalan rel yang memiliki banyak tikungan, kereta perlu mengurangi kecepatannya supaya tidak mengalami percepatan lateral yang sangat besar. Pada tikungan diberi cant untuk mengatasi hal tersebut, namun besarnya dibatasi oleh regulasi. Kereta tilting dapat menjadi solusi untuk mengatasi keterbatasan tersebut dengan cara memiringkan badan kereta ketika melewati tikungan. Pada penelitian ini, kereta tilting dimodelkan menggunakan perangkat lunak Universal Mechanism. Sistem tilting dimodelkan melalui aktuator tilting sebagai sambungan yang panjangnya merupakan fungsi terhadap waktu. Model divalidasi dengan membandingkan nilai analitik parameter berdasar teori dengan nilai hasil simulasi. Selanjutnya simulasi dinamik dengan menggunakan model yang telah divalidasi dilakukan untuk menguji sistem tilting pada beberapa skenario geometri tikungan. Berdasarkan hasil simulasi sistem tilting bekerja dengan baik dalam mengurangi percepatan lateral badan kereta, namun belum optimal karena belum dilengkapi dengan sistem kontrol. Rencana peningkatan kecepatan kereta di lintas KA Jakarta – Bandung untuk memangkas waktu tempuh disusun secara analitik dan diuji dengan simulasi untuk beberapa tikungan. Dengan mengabaikan ketidakteraturan rel, kereta tilting direncanakan dapat beroperasi dengan kecepatan rata-rata 112 km/jam sehingga lintas KA Jakarta – Bandung dapat ditempuh selama kurang dari dua jam.Kata Kunci: Kereta Tilting, Kecepatan, Percepatan Lateral, Lintas KA Jakarta – Bandung
REVIEW OF SPEED PROFILE OPTIMIZATION METHODS FOR ENERGY EFFICIENCY IN TRAIN Abdillah, Kusuma; Gunawan , Leonardo Gunawan; Handoko , Yunendar Aryo Handoko
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1640

Abstract

Improving energy efficiency in the transportation system is an important goal in facing the challenges of climate change and limited energy resources. Electric trains are a promising alternative for reducing greenhouse gas emissions and dependence on fossil fuels. Speed profile optimization has been a significant research focus on achieving maximum energy efficiency in electric trains. This paper aims to provide insight into energy efficiency using speed profile optimization.  Several issues were discussed in this paper including energy consumption modeling methods, speed profile optimization methods, and integration of speed profile optimization with schedules and regenerative braking. This study concluded that the most frequently used energy consumption modeling is the deterministic model using the Davis equation. There are two classifications in optimization: classical and modern methods (heuristics). Classical optimization methods are often used on problems with simple constraints, and modern methods are often used on problems with more complex constraints or variables.
TRAIN WHEEL OUT-OF-ROUNDNESS (OOR) AND MACHINE LEARNING-VIBRATION BASED FAULT DIAGNOSIS: A REVIEW Yusran, Yasser; Suweca, I Wayan; Handoko, Yunendar Aryo
Jurnal Dinamika Vokasional Teknik Mesin Vol. 9 No. 1 (2024)
Publisher : Department of Mechanical Engineering Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/dinamika.v9i1.72682

Abstract

This article aims to give a complete review of previous and current research on numerous types of out-of-roundness (OOR) failures in train wheels, as well as diagnostic approaches based on machine learning and vibration data. The study provides a comprehensive overview of the current state of research by categorizing reviews into three primary domains: (1) types of OOR failures in train wheels, (2) fault diagnosis methodologies, and (3) the use of machine learning and vibration data to diagnose train wheel OOR failures. Initially, the study investigates the characteristics, causes, and consequences of railway wheel OOR failures, including their impact on vibrations. It then dives further into diagnostic methods, comparing the effectiveness of statistical methods to machine learning-based methods for diagnosing failures. Furthermore, the study addresses current advances in machine learning and vibration-based diagnostic methods to diagnose train wheel OOR failures, providing information on their applications and results. This article highlights that by utilizing machine learning methods with vibration data offers a promising way for accurately diagnosing OOR faults in train wheels and predicting their potential failure and remaining useful life, resulting to enhanced maintenance efficiency and less downtime.
Reliability improvement of railway vehicles: a review Arfiansyah, Oky; Handoko, Yunendar Aryo
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol. 3 No. 1 (2024): July
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Railway vehicles are mobile parts of the operating basis on railways that are used for the movement on the track. Reliability is an important factor in the operation of railway vehicles as they play an important role in ensuring the safety and efficiency of railway operations. The complexity of subsystem structures can affect vehicle reliability, and failure or damage to components can lead to operational disruption or system failure. Reliability improvement techniques focus on minimizing failures, reducing unplanned downtime, and ensuring efficient and safe operation of railway vehicles. These techniques include maintenance strategies, design optimization, spare parts management, training, skilled management, and reliability analysis. This paper aims to discuss these reliability improvement techniques globally and specifically examine the performance of railway vehicles in Indonesia. Prioritizing reliability improvement is applied to minimize unexpected breakdowns and failures, thereby improving passenger experience, punctuality, and safety. By reducing disruptions, reliability improvements contribute to smooth train travel, minimizing delays, and creating a safer environment. In addition, improved reliability in railway transportation systems increases efficiency, benefiting passenger satisfaction, economic growth and development. Safe, reliable, and efficient transportation facilitates the movement of goods and people, encourages trade and enhances regional connectivity, ultimately supporting sustainable economic development.