根据对马迪安州理工学院发展项目的计算和实地测试,对基础设施的功率比较进行了分析

Khairul Ummam Adisanjaya, M. Sholeh, Dandung Novianto
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摘要

马迪翁国立理工大学开发项目是一座多层建筑,由4层组成,总建筑面积为8450平方米。该项目最初计划使用23米深的钻孔桩。从实施效率的角度出发,对钻孔桩和旋打桩的初始应用规划进行了比较。静力分析使用Autodesk Robot Structural analysis Professional 2018,加载使用PPIUG 1983。土壤数据N-SPT点DB-3作为参考计算。采用落锤机实现,然后采用HSPK Madiun进行成本估算计算。从分析结果来看,最大组合荷载为11柱(Portal G A 11)和12柱(Portal G As 12), LRFD组合荷载为485.188、48 kg, ASD组合荷载为380307、72 kg。旋桩承载力为130,025吨,承载力组为589,887吨,总基础减少8,880 cm。它需要Rp为9.390.264.961。钻孔灌注桩与旋打桩不同,其承载力为139,229吨,承载力组为595,792吨,总基础减少量为9,464 cm。它的价格是15.248.960.510卢比。从承载力计算、实施和成本等方面考虑,旋塞桩效率最高,成本最低。
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ANALISIS PERBANDINGAN KAPASITAS DAYA DUKUNG PONDASI TIANG PANCANG BERDASARKAN PERHITUNGAN DAN UJI LAPANGAN PADA PROYEK PENGEMBANGAN KAMPUS POLITEKNIK NEGERI MADIUN
Polytechnic State of Madiun development project is the multi-storey building that consist of 4 floors with a 8450 m2 total building area. The project was originally planned to use a bored pile 23 m depth. Taking into consideration of implementation efficiency, the author compared the initial application planning between bored pile and spun pile. Static analysis used Autodesk Robot Structural Analysis Professional 2018 and the loading used PPIUG 1983. Soil data N-SPT point DB-3 was used as reference calculation. Implementation used Drop Hammer machine then cost estimation calculation used HSPK Madiun. From the analysis result, it was found that the largest combination load was column 11 (Portal G A 11) and column 12 (Portal G As 12) with the 485.188,48 kg LRFD combination load and 380307,72 kg ASD combination load. The bearing capacity of spun pile was 130,025 ton while bearing capacity group was 589,887 ton with the decrease of total foundation was 8,880 cm. It needed Rp. 9.390.264.961. Different from spun pile, the bearing capacity of bored pile was 139,229 ton while bearing capacity group was 595,792 ton with the decrease of total foundation was 9,464 cm. It costed Rp. 15.248.960.510. Furthermore, based on bearing capacity calculation, implementation, and cost, Spun pile was the most efficient and lowest cost.
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