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首页> 外文期刊>Practice periodical on structural design and construction >One- and Two-Dimensional Active MASW Survey for Subsurface Profiling of Jia Bharali River Bed, Assam, India, for a Proposed 1.2-Km Road Bridge
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One- and Two-Dimensional Active MASW Survey for Subsurface Profiling of Jia Bharali River Bed, Assam, India, for a Proposed 1.2-Km Road Bridge

机译:贾巴尔利河床,印度阿萨姆,印度普拉斯普拉尔河床地下剖析的一维活跃式扑克勘查,为拟议的1.2公里路桥

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摘要

This article describes the active multichannel analysis of surface waves (MASW) survey conducted at the Jia Bharali River Bed, Tezpur Assam, to identify the shear-wave velocity profile of the subsurface at the site. A new 4-lane (approximately 1.2 km) carriageway bridge construction is proposed over River Jia Bharali, a tributary of River Brahmaputra, intending to connect two national highways NH-52A and NH-37. The site consists of sand and silt deposits, intermingled with pebbles, gravels, and perched hard strata formations. The proposed bridge consists of 24 piers and 2 abutments, each separated by an interval of 48 m. Active MASW surveys were conducted at the pier and abutment locations, along with roll-along mode in-between the piers. Multiple sledgehammer shots were used at each location and dispersion image stacking is used to generate higher resolution dispersion images. Automated extraction of dispersion curve was attained with the aid of image processing techniques employing an integration of Surfseis version 5.0 and Matlab version R2019a software packages. The one-dimensional (1D) shear stiffness profile was determined at each of the test locations, which is further used to decipher the two-dimensional (2D) shear-wave velocity profile along the bridge alignment. The outcome of the analysis could clearly identify the perched hard strata that prevented the progress of borehole driving at specific locations in the site. The bearing stratum could be properly located, which would serve as the foundation depth for the well foundations. The thicknesses of the top erodible sediment deposit, the intermediate soft soil stratum, and the deep-seated bedrock were also effectively recognized. The findings of the survey can aid in effective bridge foundation planning for construction and design.
机译:本文介绍了在贾巴尔利河床,TEZPUR ASSAM,识别现场地下的剪切波速度曲线剖面曲线的主动多通道分析。一个新的4车道(约1.2公里)的行车道桥梁建设是建议在河流Brahmaputra河道的河道贾巴尔利,打算连接两个国家高速公路NH-52A和NH-37。该网站由沙子和淤泥沉积物组成,用鹅卵石,砾石和栖息的硬层组成。所提出的桥梁由24个码头和2台基台组成,每个间隔为48米。在码头和邻接位置进行活跃的MasW调查,以及沿着桥墩之间的滚动模式。在每个位置使用多个大锤射击,并且使用色散图像堆叠来产生更高分辨率的色散图像。借助于采用SurfseIS版本5.0和MATLAB版R2019A软件包的集成的图像处理技术,实现了分散曲线的自动提取。在每个测试位置确定一维(1D)剪切刚度曲线,其进一步用于沿桥梁对准破译二维(2D)剪切波速度分布。分析的结果可以清楚地识别栖息的硬层,防止钻孔在现场特定位置驾驶的进展。轴承层可以正确地定位,这将作为井基础的基础深度。还有效地识别了顶层可蚀沉积物,中间软土石层和深层基岩的厚度。调查结果可以帮助建筑和设计有效的桥梁基础规划。

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