Optimising geotechnical data for analysis of levee resilience

Author:

Bheemasetti Tejo V1,Puppala Anand J1,Verreault Louie2,Pedarla Aravind1,Weatherton Yvette P3

Affiliation:

1. Department of Civil Engineering, University of Texas at Arlington, Arlington, TX, USA

2. Tarrant Regional Water District, Fort Worth, TX, USA

3. George R. Brown School of Engineering Rice University, Houston, TX, USA

Abstract

Sustainability and resiliency are two important factors that are being considered extensively in current geotechnical analyses. Over the years, several attempts have been made to provide sustainable geotechnical engineering solutions by reusing excavated native soils and recycled materials and adopting smart and environmentally efficient construction processes. Despite an increase in research in these areas, efforts to develop an analysis-based framework that can address and incorporate both sustainable and resilient engineering designs and solutions are limited. This paper presents one such framework and how it can be used to assess infrastructure. Critical-lifeline infrastructure such as ageing dams and levees require constant stability assessments and one such levee was considered in this analysis. A critical component of a dam or levee embankment system is proper identification of the soil layers and soil properties within the dam or levee. Several in situ seismic cone penetration tests with pore pressure measurement (SCPTu) studies were conducted on a levee embankment, and these test results were analysed by way of geospatial and optimisation studies to determine the soil layer configuration. Optimisation studies were carried out in order to reduce the number of SCPTu soundings required for a balanced, environmentally friendly and cost-effective field exploration while still providing reliable soil layer configurations needed for resiliency analyses.

Publisher

Thomas Telford Ltd.

Subject

Civil and Structural Engineering

Reference39 articles.

1. Sustainability and geotechnical engineering: perspectives and review

2. Bheemasetti TV 2015 Spatial Variability Models and Prediction Analysis of Soil Properties Using Geostatistics. PhD thesis The University of Texas at Arlington Arlington, Texas, USA

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4. Building a sustainable society

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Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Editorial;Proceedings of the Institution of Civil Engineers - Engineering Sustainability;2018-04

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