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Bridge Assessment Analysis using Sufficiency Rating Method (Case Study of The Mungkung Overpass) Lau, Debora; Aminullah, Akhmad; Triwiyono, Andreas
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 1 (2024): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i1.71348

Abstract

Bridges play a crucial role in connecting various routes and water bodies, necessitating regular monitoring to prevent potential hazards and losses due to deterioration. In Indonesia employs the Bridge Management System (BMS) for decision-making regarding maintenance, repair, and replacement activities, its reliance on a limited set of criteria may lead to uncertainties in bridge condition assessmsents. This study explores the Sufficiency Rating (SR) method as an alternative for assessing bridge feasibility. By considering multiple factors, including structural adequacy, serviceability, functionality, and public interest, the SR method offers a comprehensive approach to bridge evaluation. An analysis of the Mungkung Overpass on the Ngawi Kertasono toll road was conducted to evaluate the effectiveness of the SR method. The findings classified the bridge as excellent, indicating no immediate need for treatment. However, the SR method has limitations, particularly in visually assessing damage to superstructure and substructure elements, which may introduce subjectivity. Overall, this research contributes to the ongoing development of bridge assessment methodologies in Indonesia, aiming to enhance decision-making processes and ensure the safety and longevity of bridge infrastructure. After analyzing the data obtained through the implementation of the SR method, it was revealed that S1 achieved a value of 45%, S2 achieved 23%, S3 achieved 12.7%, and S4 achieved 6%. The total actual value of the four parameters calculated based on the SR method was 74.7%, with a difference of 25.3% from the maximum value. These findings clearly illustrated that the bridge satisfied the criteria for deficiency, thereby necessitating comprehensive rehabilitation measures to be undertaken.
Experimental Study on the Performance of Mechanical Coupler Splice Made of Rebar Under Monotonic Loading Muhammad, Heidi; Saputra, Ashar; Triwiyono, Andreas
Semesta Teknika Vol 26, No 2 (2023): NOVEMBER
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v26i2.19263

Abstract

The lap splice method presents a drawback due to reinforcement congestion, affecting the pouring and evenness of the concrete. Additionally, lap splicing significantly contributes to construction waste. As a result, research was conducted on mechanical connections using reinforcements to reduce construction waste and demonstrate the feasibility of these splices. In this study, the threaded coupler with standard national coarse threads splice method was employed, and tests were conducted following ASTM A1034-10a standards with monotonic tensile loading. Test specimens were created using 13 and 16 mm reinforcement sizes, varying the length and diameter of the coupler, and including welding at the coupler ends. The test results demonstrated that reinforced bars with splices exhibit a stress-strain relationship similar to intact reinforcement. However, these reinforced bars with splices did not meet the requirements outlined in SNI 2052:2017 concerning maximum stress and strain, including their comparison. Therefore, the utilization of these splices is not suitable for critical load-bearing areas.
Evaluasi Kebijakan Penanganan Covid-19 Terhadap Pekerja Konstruksi Gedung di Yogyakarta: The Evaluation of the Covid-19 Handling Policy for Building Construction Workers in Yogyakarta Hidayat, Rachmad; Triwiyono, Andreas; Muslikh, Muslikh
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 12 No 1 (2024): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil (Januari 2024)
Publisher : Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/bentang.v12i1.7225

Abstract

In 2020, the Corona virus or Covid-19 was declared a global pandemic by the World Health Organization (WHO). This virus significantly affected and disrupted the activities of society, including the construction sector. In response to this situation, the Minister of Public Works and Public Housing (PUPR) issued a policy in Ministerial Instruction No. 02 of 2020 regarding the protocol for the prevention of the spread of the Corona Virus Disease 2019 (Covid-19) in the implementation of construction services. The purpose of this research was to measure the effectiveness level of the policy that had been established and to identify the factors influencing the compliance level of construction workers with the Covid-19 prevention policy. Data was collected from construction projects in the Special Region of Yogyakarta province through offline means using the Likert scale. The data was subsequently analyzed using SPSS and SmartPLS for the Structural Equation Modeling (SEM) method. The results indicated that the Ministerial Instruction No. 02 of 2020 issued by the Minister of PUPR had been effectively implemented throughout 2021 and 2022. It was also revealed that certain factors directly and significantly influenced workers' compliance. These factors included workers' understanding and the availability of facilities and infrastructure, with calculated t-values exceeding 1.960 and p-values less than 0.05.
PARAMETRIC STUDY OF WARREN STEEL TRUSS BRIDGE USING ARTIFICIAL NEURAL NETWORKS Astuti, Yana; Priyosulistyo, Henricus; Triwiyono, Andreas; Aminullah , Akhmad
Jurnal HPJI (Himpunan Pengembangan Jalan Indonesia) Vol. 11 No. 1 (2025)
Publisher : Himpunan Pengembangan Jalan Indonesia (HPJI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jhpji.v11i1.9060.1-16

Abstract

Abstract Steel truss bridges are a popular type of amongst several other standard bridges in Indonesia due to their lightweight yet robust and strong structure. In this study Artificial Neural Networks is used to optimize the dimensions of the steel truss bridge. The Artificial Neural Network method was chosen as it can handle complex and nonlinear problems, as well as its potential to generate accurate prediction models. Data of 319 existing constructed steel truss bridges in Indonesia were used to train the Artificial Neural Network model. The results show that the Artificial Neural Network model can predict the stress ratio of the structural elements of steel truss bridges with high accuracy (R2 > 0.99). The trained ANN model was then used to optimize the dimensions of the steel truss bridges with spans range from 40 meters to 60 meters with interval of 5 meters. The optimization results showed a 5.60% weight reduction compared to previous research results and a 20% less compared to the average weight of the existing bridge. This study contributes to improving the efficiency of development steel truss bridge in Indonesia. Keywords: truss bridge; optimization; Artificial Neural Network; design efficiency Abstrak Jembatan rangka baja merupakan jenis jembatan standar yang populer di Indonesia karena struktur yang ringan namun kuat dan kokoh. Pada penelitian ini, Artificial Neural Network digunakan untuk mengoptimalkan dimensi jembatan rangka baja. Metode ini dipilih karena kemampuannya menangani masalah kompleks dan nonlinier, serta potensinya untuk menghasilkan model prediksi yang akurat. Data 319 jembatan rangka baja yang ada di Indonesia digunakan untuk melatih model Artificial Neural Network. Hasilnya menunjukkan bahwa model Artificial Neural Network dapat memprediksi rasio tegangan pada elemen struktural jembatan rangka baja dengan akurasi yang tinggi. Model Artificial Neural Network yang terlatih kemudian digunakan untuk mengoptimalkan dimensi jembatan rangka baja dengan rentang bentang 40 meter hingga 60 meter dengan interval 5 meter. Hasil optimasi menunjukkan efisiensi berat sebesar 5,60% dibandingkan dengan penelitian sebelumnya dan 20% lebih efisien dibandingkan dengan jembatan yang sudah ada. Penelitian ini berkontribusi dalam meningkatkan efisiensi pengembangan jembatan rangka baja di Indonesia. Kata-kata kunci: jembatan rangka baja; optimasi; Artificial Neural Network; efisiensi desain
Aeroelastic Response of a Cable-Stayed Bridge Deck with Various Fairing Shape Models (Case Study of Suramadu Bridge) H, I Gede Agung Shri Parta; Supriyadi, Bambang; Triwiyono, Andreas
ASTONJADRO Vol. 14 No. 3 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i3.18400

Abstract

Aerodynamic phenomena poses risks for long-span cable-stayed bridge structures, nevertheless, the prevention method is often neglected on older bridges. The effort to reduce the risk and increase the aerodynamic performance of cable-stayed bridges mostly focuses on design and construction stages. This study attempts to improve aerodynamic performance by mitigating the aeroelastic heaving response of an existing bridge structure chosen as the subject, Suramadu Bridge. The approach is made by exploring different options applicable to already built bridges, such as the addition of fairings with varying shapes to modify the shape model of the bridge deck while maintaining the value of vertical and torsional stiffness. The study finds that there is relatively no increase in the lowest margin of critical vortex velocity of the bridge deck with fairing addition compared to the original bridge deck. The amplitude of oscillation caused by aerodynamic lift force is also fairly low since critical vortex velocity occurs in the range of 9.35-9.38 m/s. Upon increasing wind velocity up to the design wind speed of 37.8 m/s, there are significant differences in lift force and amplitude of oscillations. The shape model with the steepest fairing shows a significant decrease in amplitude, up to 35.6% lower than the original bridge deck, indicating a better aerodynamic stability. Meanwhile, the other two shape models show identical and higher amplitude compared to the original bridge deck.
Pengaruh Panjang Terlekat terhadap Kekuatan Lekat Tulangan pada Beton sebagai Perkuatan Eksternal (Near-Surface Mounted) Egatama, Henda Febrian; Triwiyono, Andreas; Sulistyo, Djoko
Prosiding Seminar Nasional Teknik Sipil UMS 2020: Prosiding Seminar Nasional Teknik Sipil UMS
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2411.52 KB)

Abstract

Penelitian mengenai perkuatan eksternal (Near-surface Mounted) dengan menggunakan baja tulangan biasa perlu dilakukan, sebagai alternatif dari perkuatan FRP. Namun, sebelum penelitian tersebut dilakukan, penelitian pendahuluan diperlukan untuk mengetahui panjang penyaluran yang dibutuhkan, berdasarkan kekuatan lekat antara tulangan, bahan perekat (epoxy), dan beton. Metode pengujian yang dilakukan adalah dengan uji lolos tarik (pull out) tulangan ulir D13 yang direkatkan pada permukaan beton dengan kedalaman takikan 20 mm (1,5D) dengan epoxy adesif. Hasil dari penelitian ini menunjukkan bahwa tegangan lekat ultimit yang terjadi pada panjang terlekat 50 mm, 100 mm, 150 mm, dan 200 mm berturut-turut adalah 11,181 MPa, 19,972 MPa, 14,348 MPa, dan 10,235 MPa. Mode keruntuhan yang terjadi pada panjang terlekat 50 mm dan 100 mm adalah pecah pada beton (spalling), sedangkan pada 150 mm dan 200 mm adalah putus/luluh tulangan.
PARAMETRIC STUDY OF WARREN STEEL TRUSS BRIDGE USING ARTIFICIAL NEURAL NETWORKS Astuti, Yana; Priyosulistyo, Henricus; Triwiyono, Andreas; Aminullah , Akhmad
Jurnal HPJI (Himpunan Pengembangan Jalan Indonesia) Vol. 11 No. 1 (2025)
Publisher : Himpunan Pengembangan Jalan Indonesia (HPJI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jhpji.v11i1.9060.1-16

Abstract

Abstract Steel truss bridges are a popular type of amongst several other standard bridges in Indonesia due to their lightweight yet robust and strong structure. In this study Artificial Neural Networks is used to optimize the dimensions of the steel truss bridge. The Artificial Neural Network method was chosen as it can handle complex and nonlinear problems, as well as its potential to generate accurate prediction models. Data of 319 existing constructed steel truss bridges in Indonesia were used to train the Artificial Neural Network model. The results show that the Artificial Neural Network model can predict the stress ratio of the structural elements of steel truss bridges with high accuracy (R2 > 0.99). The trained ANN model was then used to optimize the dimensions of the steel truss bridges with spans range from 40 meters to 60 meters with interval of 5 meters. The optimization results showed a 5.60% weight reduction compared to previous research results and a 20% less compared to the average weight of the existing bridge. This study contributes to improving the efficiency of development steel truss bridge in Indonesia. Keywords: truss bridge; optimization; Artificial Neural Network; design efficiency Abstrak Jembatan rangka baja merupakan jenis jembatan standar yang populer di Indonesia karena struktur yang ringan namun kuat dan kokoh. Pada penelitian ini, Artificial Neural Network digunakan untuk mengoptimalkan dimensi jembatan rangka baja. Metode ini dipilih karena kemampuannya menangani masalah kompleks dan nonlinier, serta potensinya untuk menghasilkan model prediksi yang akurat. Data 319 jembatan rangka baja yang ada di Indonesia digunakan untuk melatih model Artificial Neural Network. Hasilnya menunjukkan bahwa model Artificial Neural Network dapat memprediksi rasio tegangan pada elemen struktural jembatan rangka baja dengan akurasi yang tinggi. Model Artificial Neural Network yang terlatih kemudian digunakan untuk mengoptimalkan dimensi jembatan rangka baja dengan rentang bentang 40 meter hingga 60 meter dengan interval 5 meter. Hasil optimasi menunjukkan efisiensi berat sebesar 5,60% dibandingkan dengan penelitian sebelumnya dan 20% lebih efisien dibandingkan dengan jembatan yang sudah ada. Penelitian ini berkontribusi dalam meningkatkan efisiensi pengembangan jembatan rangka baja di Indonesia. Kata-kata kunci: jembatan rangka baja; optimasi; Artificial Neural Network; efisiensi desain
Risk Analysis of Steel Railway Bridges Based on Rating Factor, Earthquake, and Importance Factor Prasetyo, Aulia Azis; Triwiyono, Andreas; Supriyadi, Bambang
ASTONJADRO Vol. 14 No. 4 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i4.19038

Abstract

Railway bridges are critical infrastructure components that are essential to support and maintain the integrity of major rail transportation networks. Indonesia is located in a tectonic zone known as the Ring of Fire. Risk assessment of these bridges is critical. This research not only considers the physical condition or vulnerability of the bridge itself but also the risk posed by earthquakes and the level of importance of the bridge. The research was conducted on 4 bridges located in East Java Province, namely the BH-129, BH-262, BH-275, and BH-314 Bridges. The rating factor, hazard level, and importance factor influence the risk level. The assessment process starts by using the Bridge Management System (BMS) method and Structure Analysis Program (SAP2000) to assist in calculating the Rating factor. Determining the level of danger by referring to the Earthquake Hazards Map and the Indonesian Earthquake Code (SNI 2833: 2016), The importance is taken based on the level of operational importance of the bridge referring to the same standard. The results show that the four bridges have the same risk value of 0.7809 for each bridge. The results underscore the urgent need for proactive measures to reduce the potential adverse impacts of bridge structure failure. Recommended interventions include strengthening structural elements, increasing inspection frequency, improving maintenance protocols, and, if necessary, replacing compromised structures. These strategies are critical due to the high risk and significant impact on rail safety and operations, especially in areas prone to natural disasters. The results of this study reinforce the urgency of improving the resilience of bridge infrastructure to earthquake threats to maintain the stability and safety of rail transportation in Indonesia.
Effect of Bolt Preload and Friction Coefficient on Slip Capacity and Yield in Steel Truss Bridge Connections Tologana, Ricky Nofrianto; Triwiyono, Andreas; Sulistiyo, Djoko
ASTONJADRO Vol. 14 No. 4 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i4.19267

Abstract

This study analyzes the effect of bolt preload and friction coefficient on slip capacity and yield in steel truss bridge connections using the finite element method (FEM) through Abaqus software. Preload variations ranging from 0.2 to 0.9 and friction coefficients between 0.3 and 0.5 were applied to find the relationship between these factors. The results indicate that increasing preload and friction coefficient enhances slip capacity. Specifically, at a preload of 0.2 and friction coefficient of 0.3, slip occurred at 1549.07 kN, whereas at a preload of 0.9 and friction coefficient of 0.5, the slip capacity reached 11354.1 kN. However, excessive preload (>0.7 ) can lead to local failure due to stress concentration around the bolt hole. Validation using the AISC analytical method showed an average difference of only 1.6% with a maximum error of 5.28%, indicating a high level of accuracy in the FEM model. These findings provide recommendations for optimal connection design, suggesting a preload of 0.7 and a friction coefficient of 0.5 to enhance connection capacity while mitigating the risk of premature failure
Assessment and Strengthening of Bolted Connections in the Mandomai Bowstring Bridge Constructed with Ulin Wood Subchan, Shafira Khairunnisa; Awaludin, Ali; Akbar, Miqdad Khosyi; Tama, Radika Gandi; Setiawan, Angga Fajar; Yudhistira, Angga Trisna; Irawati, Inggar Septhia; Triwiyono, Andreas
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.28.1.101-110

Abstract

This study assessed and proposed a retrofit strategy for bolted timber connections in the Mandomai pedestrian bridge, constructed from Ulin wood (Eusideroxylon zwageri). Numerical modeling, analytical evaluation using Eurocode 5 yield equations, and experimental validation were conducted. Axial forces from a global Midas Civil model under a 1.25 kN/m² live load showed three critical connections (S11, S13, S14) with demand-capacity ratios (DCR) exceeding 1.0. A retrofit using steel side plates and ASTM A325 bolts reduced DCRs to 0.79, 1.02, and 0.70, respectively. Experimental testing of limited full-scale double-shear wood-to-wood joints demonstrated an average ultimate capacity of 191 kN, which was 57.65% higher than the theoretical prediction, indicating the conservative nature of Eurocode 5 and the contribution of mechanisms such as the rope effect and frictional interlock. The results confirmed the retrofit’s effectiveness and highlighted the need to refine design provisions for dense tropical hardwoods.