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Journal : Rekayasa Sipil

ANALISIS PERILAKU EFEK RETROFIT KOLOM BETON BERKOMPOSISI STEEL FIBER (ENGINEERED CEMENTITIOUS COMPOSITE / ECC) AKIBAT BEBAN AKSIAL DENGAN MENGGUNAKAN SOFTWARE BERBASIS FINITE ELEMENT ANALYSIS Bagas Rahmandita Subchan; Gati Annisa Hayu; Entin Hidayah
Rekayasa Sipil Vol 13, No 3 (2019)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2019.013.03.8

Abstract

This study presents a simulation analysis of the non-linear behavior of retrofit concrete material due to uniaxial loads modeled in the form of cylinders measuring 150 mm in diameter and 200 mm in depth using the ABAQUS. Analysis of this auxiliary program includes cases of normal concrete retrofit, concrete with retrofit concrete with a composition of 1% steel fiber, and concrete with retrofit concrete composed of 2% steel fiber. From the results of the study conducted, it was shown that in modeling the properties of concrete damaged plasticity in ABAQUS, the use of accurate compressive behavior equations for concrete cases with normal concrete retrofit was core concrete and retrofit concrete using the Alfarah, et al equation. For the case of concrete with steel fiber composition retrofit, core concrete uses the Alfarah equation, and retrofit concrete uses Zhou Jiajia, et al. Whereas to model the tensile behavior accurately in the case of concrete with normal concrete retrofit using the Alfarah, et al equation. And the case of concrete with retrofit steel fiber compositions using the CEB-FIB equation and the Ali & Nehdi equation. The results of ABAQUS analysis of force vs. displacement show a graphical pattern close to the similarity of retrofit concrete column experimental results ECC1 error force ratio and displacement 14.86% and -10.60%, and ECC2 14.82% and 8.01). Based on the stress analysis shows that there is a gradual increase in core concrete where the peak of stress is found in the core area of the concrete core and in the retrofit area is divided into two regions, namely stressing on the center and pulling on a small part of upper and lower column retrofit.
ANALISIS SAMBUNGAN BAUT BALOK KOLOM RANGKA BAJA STRUKTURAL DENGAN PROFIL IWF MENGGUNAKAN PROGRAM BANTU ELEMEN HINGGA Machmud Budi Sulistiyo; Gati Annisa Hayu; Entin Hidayah
Rekayasa Sipil Vol 13, No 3 (2019)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2019.013.03.7

Abstract

Commonly joints problems (especially high strength bolt) were stiffness, ductility, and construction costs. This research was conducted with purpose to analyzed inner force and behavior that could be occurred on high strength bolted joints in steel frame using IWF profiles, such as stress, and reaction force-displacement. This study was divided into 2 step, first step was modeling on finite element software, and second step was analyzing the results and comparing it with the results from experimental study as validation base. In bolted joints model showed the best value on third trial with displacement value of 98,97 mm and reaction force of 41,57 KN. With validation to experimental results each one were 93,45% and 94,05%. Accuracy of hysteretic loop curve area was 98,46%.
Perbadingan Estimasi Curah Hujan MRR dan TRMM 3B42 Sebagai Input Model Hidrologi HBV Studi Kasus DAS Bedadung Muhamad Zulvi Alhamda; Entin Hidayah; Wiwik Yunarni
Rekayasa Sipil Vol 14, No 2 (2020)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2020.014.02.5

Abstract

The limitations of spatial and temporal distribution of rain gauge networks causes inaccuracies in prediction of hydrological modeling. The availability of satellite rain data products is a potential to overcome this limitation. This studies objective is to compare the quality of rain data from the recording of the Manual Rainfall Recorder (MRR) with satellite data TRMM 3B42 which is entered in the HBV hydrological modeling. Calibration results shows that HBV modeling performance with MRR rain data input is better than TRMM. R2 and NSE values from MRR rain data input were 0.7153 and 0.7133 respectively with a mean error of 89 (mm / year). While the R2 and NSE values of the TRMM 3B42 satellite rain data input were 0.57 and 0.55 with a mean error of 305 (mm / year), respectively.
PEMETAAN CEPAT GENANGAN BANJIR MENGGUNAKAN TEKNOLOGI REMOTE SENSING Tedy Pranadiarso; Entin Hidayah; Gusfan Halik
Rekayasa Sipil Vol. 16 No. 2 (2022): Rekayasa Sipil Vol.16. No.2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2022.016.02.9

Abstract

The existence of a flood inundation rapid map is needed in flood mitigation. This research is intended to map flood inundation quickly by utilizing satellite image technology. Sentinel 2 Level 1C technology uses before and after the flood. The extraction process uses the methods of NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index). The result is treated with a threshold value by dividing the pixel value into flooded and unflooded areas. The performance model shows that the MNDWI method is more accurate than the NDWI method in producing flood inundation maps. Thus, the results of the MNDWI method are practical and able to map flood inundation quickly. 
PEMETAAN GEOSPASIAL RISIKO BANJIR DI SUB-DAS GUNTING, JOMBANG JAWA TIMUR Arbi Tri Kuswardhana; entin hidayah; Retno Utami Agung Wahyono
Rekayasa Sipil Vol. 17 No. 1 (2023): Rekayasa Sipil Vol. 17 No. 1
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.01.8

Abstract

Floods are the most recurring natural disasters and impact human life, causing a severe economic downturn. The level of flood risk is a function of hazard and vulnerability. Flood risk-prone areas need to be identified to reduce the flood risk level. This study aims to assess flood risk based on spatial analysis results with Geographic Information Systems (GIS). The flood hazard map is built from remote sensing-based data in the form of a digital elevation model (DEM) applied using the frequency ratio weighting (FR) technique. Vulnerability maps are generated from social, economic, physical, and environmental data applied through techniques overlays weighted using the analytical hierarchy process (AHP). The resulting risk map shows that 21.93% and 6.40% of the total area are at a very high and high level of flood risk. This map is very useful for planning the flood management.
Pemetaan Kerawanan Tanah Longsor di Hulu DAS Tanggul Indra Nurtjahjaningtyas; Gatrawan Muchammad Albirru; Entin Hidayah
Rekayasa Sipil Vol. 17 No. 2 (2023): Rekayasa Sipil Vol. 17 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.02.12

Abstract

Landslides are one of the natural disasters that often occur in the Upper Tanggul Watershed. This study aims to produce a landslide susceptibility map based on the Geographic Information System (GIS). Seven landslides conditioning factors used, namely land cover, river density, slope, aspect, elevation, curvature and Normalized Difference Vegetation Index (NDVI). Landslide susceptibility areas were mapped using the frequency ratio and weights-of-evidence methods. The accuracy of the landslide susceptibility maps generated from both methods is validated using the Area Under Curve (AUC). The estimation results of the AUC plot show that the susceptibility map using the frequency ratio model has an accuracy of 92,6% and the weights-of-evidence method has an accuracy of 90,1%.
Co-Authors Adam Rifqi Ammarulsyah Afriq Fadian Syahya Ageng Dwi Wicaksono Ahmad Rizza Lufafi Akbar, Sabda Alam Akhmad Hasanuddin Aldio Dhiva Pratama Anik Ratnaningsih Arbi Tri Kuswardhana Audiananti Meganandi Kartini Bachtiar Ilham Maulana Bagas Rahmandita Subchan Cahyani, Hajar Crisia Dian Wahyu Khaulan Didik Efendi Edijatno Edijatno Edijatno Edijatno Elida Novita Erwan Bagus Setiawan Fachry Abda El Rahman Fahir Hassan Febriyanto, Andreyan Fildzah, Cantika Almas Gati Annisa Hayu Gatrawan Muchammad Albirru Gusfan Halik Gusfan Halik Gusfan Halik Hajar Crisia Cahyani Handini, Devi Ratna Icha Derka Indarto Indarto Indarto Indarto Indarto Indarto Indarto Indarto Indra Nurtjahjaningtyas Joice Prasasty September Machmud Budi Sulistiyo Mahfud, Alvian Sahal Mohamad Andhika Rafif Mokhammad Farid Ma'ruf Mokhammad Farid Ma'ruf Muhamad Zulvi Alhamda Muhammad Arifin Nadjadji Anwar Nadjadji Anwar Ningsih, Alfiati Nunung Nuring Hayati Nur Alif Ryanto Nur Defitri Herlinda Nur Iriawan Nur Iriawan Pebriyanti, Fista Prabowo Prabowo Prawira, Akbar Bagus Prihantono, Gunawan Eko Purnagusti, Yangga Putri, Art Palupi Pranoto Putu Adetya Pariartha Qatrinnada, Winona Fritzie Putri Retnaningtias, Sefti Aryani Retno Utami Agung Wahyono Retno Utami Agung Wiyono Ririn Endah Badriani, Ririn Endah Rivaldi Dwiky Agustian Rusyidina Tamimi, Rusyidina Saifurridzal, Saifurridzal Setyawan, Roeby Sonia Oktariyanti Sri Wahyuni Suparno Suparno Syahya, Afriq Fadian Taqiudin Haq Tedy Pranadiarso Usaamah Hadi Wei Koon Lee Wicaksono, Ega Fajar Wiwik Yunarni Wiwik Yunarni Widiarti Yunarni, Wiwik Zulkifli Yusop