Detection of Underground Obstacles by the SASW Test

通过 SASW 测试检测地下障碍物

• 批准号: 9622140
• 负责人: Nenad Gucunski
• 金额: $ 16.21万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-06-01 至 2000-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9622140&HistoricalAwards=false
• 关键词: Detection; Underground; Obstacles; SASW; Test

9622140 The objective of the proposed research program is to develop practical procedures for detection of underground obstacles in the field by the Spectral-Analysis-of-Surface-Waves (SASW) technique. Such a development is important for two major reasons: 1) In urban areas where subsurface right-of-way is congested, the ability to detect the position and characteristics of underground obstacles or voids is important for maintenance, repair, and rehabilitation. 2) This research will provide guidelines for minimization of the effects of underground obstacles in SASW site characterization. Existing experimental and numerical studies indicate that underground obstacles and soil heterogeneity have significant effects on Rayleigh wave dispersion evaluated by the SASW test. This research will encompass a refinement of the numerical model for obstacle detection, verification of the developed procedures in detection of obstacles in soil systems and below pavements, and integration of the procedures into packages for an automated SASW test. The refinement involves optimization of the procedure with respect to the number, spacing and placement of receivers, and more accurate evaluation of some of the obstacle parameters. Verification and implementation of the procedure will be done in the laboratory and in the field. Test sites will be selected and prepared in cooperation with the New Jersey Department of Transportation. ***

9622140 拟议研究计划的目标是开发通过表面波频谱分析 (SASW) 技术在现场检测地下障碍物的实用程序。 这种开发之所以重要，主要有两个原因：1）在地下通行权拥堵的城市地区，检测地下障碍物或空隙的位置和特征的能力对于维护、修理和恢复非常重要。 2) 这项研究将为 SASW 场地特征中地下障碍物的影响最小化提供指导。 现有的实验和数值研究表明，地下障碍物和土壤异质性对SASW测试评估的瑞利波色散有显着影响。 这项研究将包括完善障碍物检测数值模型、验证已开发的土壤系统和路面下方障碍物检测程序，以及将程序集成到自动化 SASW 测试包中。 改进包括在接收器的数量、间距和放置方面优化程序，以及更准确地评估一些障碍物参数。 该程序的验证和实施将在实验室和现场进行。 测试地点将与新泽西州交通部合作选择和准备。 ***