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PENENTUAN NILAI DEFLEKSI MAKSIMUM PADA JEMBATAN STEEL BOX GIRDER BERDASARKAN DATA NILAI ROTASI Surachmat, David; Suangga, Made
Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Vol 5, No 2 (2021): Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmstkik.v5i2.11014

Abstract

Structural health monitoring system plays a crucial role in order to ensure a well-maintained bridge condition. There are a number of methods that may be utilized in order to conduct the monitoring process, namely the use of Global Positioning System (GPS). Despite its accuracy, the use of GPS is deemed costly. A more practical and economical approach to predicting deflection is the use of tiltmeter to obtain rotational values. This research studied the accuracy of simple span steel box girder deflection that is obtained from regression formulae. The analysis showed that a 3D linear and quadratic regression with two rotation data provided the best accuracy if compared with 2D. Keywords: deflection; rotation; structural health monitoring system; tiltmeter AbstrakPemantauan kesehatan struktur jembatan (structural health monitoring system) sangat penting dilakukan untuk memastikan jembatan tetap dalam kondisi yang memadai. Banyak cara yang dapat dilakukan untuk memonitor kondisi jembatan, salah satunya dengan menggunakan Global Positioning System (GPS). Walaupun menghasilkan data yang akurat, penggunaan GPS dipandang menghabiskan biaya yang relatif besar. Adapun solusi yang lebih praktis dan murah untuk memprediksi defleksi yaitu dengan menggunakan tiltmeter dengan data rotasi. Pada studi ini, telah dipelajari tingkat akurasi defleksi jembatan steel box girder dengan bentang sederhana dari hasil persamaan regresi dengan data rotasi. Hasil analisis menunjukkan bahwa model regresi linear dan kuadratik 3D untuk 2 data rotasi memiliki tingkat akurasi lebih baik jika dibandingkan dengan model regresi linear dan kuadratik 2D untuk 2 data rotasi. 
Quantifying environmental impact: carbon emissions analysis of cut and fill work in construction Keintjem, Militia; Suwondo, Riza; Suangga, Made; Juliastuti, Juliastuti; Anda, Martin
SINERGI Vol 28, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.3.006

Abstract

The construction industry plays a pivotal role in global development, but it also significantly contributes to carbon emissions, necessitating urgent measures to mitigate its environmental impact. The main objective of this research is to analyse and estimate the carbon emissions resulting from cut and fill work in construction projects. This research conducted three comprehensive case studies focusing on heavy equipment excavation, material transport, material spreading, and compaction stages in the construction industry to analyse carbon emissions. The findings reveal that material transport emerges as a prominent source of CO2 emissions within the construction life cycle. This underscores the urgent need for transformative measures to optimize transportation logistics and adopt eco-friendly alternatives, such as electric or hybrid vehicles, for material transport. Additionally, the study highlights the importance of integrating intermodal transportation options to maximize efficiency while minimizing emissions during material movement. The research emphasizes that mitigating carbon emissions in the construction industry requires a comprehensive approach encompassing technological advancements, logistical optimization, and the adoption of sustainable practices. By embracing the strategies highlighted in this study, construction projects can significantly contribute to the global fight against climate change and align with international efforts to achieve a more sustainable future. The insights provided by this research underscore the imperative for collaboration among stakeholders to drive meaningful change and foster a more sustainable and environmentally conscious construction industry.