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All Journal Jurnal Teknik ITS IPTEK The Journal of Engineering IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Journal of Civil Engineering Civil Engineering Dimension Jurnal Aplikasi Teknik Sipil Jurnal Teknologi dan Manajemen Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil JEECS (Journal of Electrical Engineering and Computer Sciences)
Iranata, Data
Assistant Professor, Department Of Civil Engineering, Sepuluh Nopember Institute Of Technology (ITS), ITS Campus, Sukolilo, Surabaya 60111, Indonesia.
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

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Journal : Journal of Civil Engineering

 1 
Non-linear finite element analysis of reinforced concrete deep beam with web opening Ferry Alius; Bambang Piscesa; Faimun Faimun; Harun Alrasyid; Data Iranata
Journal of Civil Engineering Vol 35, No 1 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v35i1.7480

Abstract

The use of Reinforced Concrete (RC) deep beams in building may requires web openings or holes for electrical and mechanical utilities passage. This web opening will change the behavior of RC deep beam and may resulted in early cracks even at service load. Hence, it is important to use a suitable tool to predict the full response of RC deep beam with opening. For that purpose, nonlinear finite element method using 3D-NLFEA software package which utilize a plasticity-fracture model is used to predict the behavior of RC deep beam. One deep beam specimen available in the literature is investigated. To study the effect of using structured and unstructured mesh, as well as different element types on the load deflection curve, hexahedral and tetrahedral solid element was used. From the comparisons, it was observed that the crack pattern between two different meshes was not similar. Structured mesh often has straighter crack propagation compared to the unstructured mesh. The load deflection curve for both models are similar and both models were performed satisfactorily in predicting the peak load of the deep beam.
ASSESSMENT OF NOMINAL SHEAR STRENGTH OF REINFORCED CONCRETE COLUMN Dea Fauziah Larasati; Harun Alrasyid; Data Iranata
Journal of Civil Engineering Vol 36, No 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v36i1.9090

Abstract

: SNI 2847-2019 and ACI 318-19 have regulated the use of materials in the design for shear strength. This study presents an evaluation of nominal shear strength in Reinforced Concrete (RC) column from SNI 2847-2019 and ACI 318-19 by variants of the RC columns experimental database. RC column variants consist of normal strength and high strength RC column with a total of 162 specimens. Furthermore, the database also provides a variety of shear span to depth ratio and axial-load ratio. In this study, the calculation was carried out the mean and the coefficient of variation of measured to calculated strength ratio  which is according to SNI, ACI, and other experimental models. Both SNI 2847-2019 and ACI 318-19 have 2 different  (concrete nominal shear strength) equations. The calculation results show that the  equation is more conservative in both SNI and ACI compared to other nominal shear strength equations. Overall, the combination of both normal strength and high strength RC columns, the calculation using ACI 318-19 with the first nominal shear strength equation  can be said to be more conservative than any other calculations models. This study also shows that by using the ACI 318-19 model in the second equation  which is used the size effect modification factor , the results do not have a significant effect because the value is close to 1.
STRUCTURAL SYSTEM SIMULATION USING GRID-COMPUTING FRAMEWORK Data Iranata; Radityo Anggoro
Journal of Civil Engineering Vol 29, No 2 (2009)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (881.751 KB) | DOI: 10.12962/j20861206.v29i2.1729

Abstract

A multi-level modeling and simulation method of structural system using grid-computing framework is proposed in this paper. Two levels of parallel processing will be involved in this framework: (1) multiple locally distributed computing environments connected by the local network to form (2) a grid-based cluster-to-cluster distributed computing environment. To successfully perform the simulations, a large-scale structural system is decomposed into the simulations of a simplified global model and several detailed component models with various scales. These correlated multi-scale simulation tasks are distributed amongst clusters and connected together in a multi-level modeling and simulation method and then coordinated over the internet. This paper also presents the development of a grid-computing software framework that can support the proposed simulation approach. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Additionally, the comparison result between proposed method and assumed exact solution show that the proposed simulation method is appropriate to simulate the response of the structural systems.
Co-Authors . Faimun Abdul Rochim Adnan Fadhlullah Muharam Ahmad Basshofi Habieb Alfian Ravi Roshan Ali Limam Alrasyid, Harun Amalia, Aniendhita Rizki Bambang Piscesa Cintantya Budi Casita Dea Fauziah Larasati Djoko Irawan Djoko Irawan Endah Wahyuni Fajrin Ramadhani Ferry Alius Fistcar, Wawarisa Alnu Hendri Hermawan Heppy Kristijanto Hera Widyastuti Hidajat Sugihardjo I Gusti Putu Raka Indra Komara, Indra Januarti Jaya Ekasaputri Killian Casey Wisman Maheswari Dinda Radito Masahide Matsumura Mohamad Ibrahim Zaed Ammar Muhammad Ali Rofiq Muhammad Anhar Prakoso Nadia Jasmine Setianty Simanjuntak Prasetya, Dwi Prastyanto, Catur Arif Priyo Suprobo Radityo Anggoro, Radityo Redha Sadhu Leksono Refani, Afif Navir Riski Purwana Putra Shelvy Surya Suswanto, Budi Sylvya Anggraini Tavio, Tavio Wildan Pramadistya Rifliansah Yhona Yuliana Yohanes Duran