{"title":"基于二维电阻率的公路路堤蠕变破坏拟三维成像","authors":"R. Balikian, T. Larson","doi":"10.4133/SAGEEP.31-034","DOIUrl":null,"url":null,"abstract":"In May 2017, we carried out an electrical resistivity tomography (ERT) survey of the downslope embankment of a state highway in central Illinois where creep failure has been observed for over 50 years. The fill is over 15 meters (~50 feet) at its deepest point and sits partially in an old stream bed. Water is currently conveyed through the channel in a box culvert underneath the embankment. The fill has been steadily creeping since initial construction and has caused severe damage to the highway above on several occasions. The purpose of this study was to image the failure associated with the subsurface creep in the fill and to identify the subsurface engineering works that may be interacting or moving with the creep. We surveyed 10 parallel ERT profiles using an ABEM Terrameter SAS 4000. Nine profiles were 80 meters long and one was 40 meters long, with 10 meter spacing between each profile. We used an inline dipole-dipole array with electrodes spaced 2 meters apart (with a minimum 'a' spacing of 2 meters and a maximum was 4 meters; the minimum 'n' value was 1 and the maximum was 8). These 10 profiles were processed using Geotomo’s Res2DInv software. Topographic corrections were made using GPS and elevation data collected the same day as the ERT survey. The data was interpolated between the survey lines using ArcScene to create a pseudo 3-dimensional model to identify key components of the slope creep. Several underground objects were identified, including metal and plastic drainage pipes, a chimney drain, the box culvert, and possible groundwater plumes from recent rainfall events. The failure surface associated with the creep was also identified, and mapped in three dimensions. Figure 1: Study Area in Context. Elevation contours show elevation before construction of the embankment around 1961 Source: ESRI, QGIS","PeriodicalId":156801,"journal":{"name":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PSEUDO THREE-DIMENSIONAL IMAGING OF CREEP FAILURE IN A HIGHWAY EMBANKMENT USING TWO-DIMENSIONAL ELECTRIC EARTH RESISTIVITY\",\"authors\":\"R. Balikian, T. Larson\",\"doi\":\"10.4133/SAGEEP.31-034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In May 2017, we carried out an electrical resistivity tomography (ERT) survey of the downslope embankment of a state highway in central Illinois where creep failure has been observed for over 50 years. The fill is over 15 meters (~50 feet) at its deepest point and sits partially in an old stream bed. Water is currently conveyed through the channel in a box culvert underneath the embankment. The fill has been steadily creeping since initial construction and has caused severe damage to the highway above on several occasions. The purpose of this study was to image the failure associated with the subsurface creep in the fill and to identify the subsurface engineering works that may be interacting or moving with the creep. We surveyed 10 parallel ERT profiles using an ABEM Terrameter SAS 4000. Nine profiles were 80 meters long and one was 40 meters long, with 10 meter spacing between each profile. We used an inline dipole-dipole array with electrodes spaced 2 meters apart (with a minimum 'a' spacing of 2 meters and a maximum was 4 meters; the minimum 'n' value was 1 and the maximum was 8). These 10 profiles were processed using Geotomo’s Res2DInv software. Topographic corrections were made using GPS and elevation data collected the same day as the ERT survey. The data was interpolated between the survey lines using ArcScene to create a pseudo 3-dimensional model to identify key components of the slope creep. Several underground objects were identified, including metal and plastic drainage pipes, a chimney drain, the box culvert, and possible groundwater plumes from recent rainfall events. The failure surface associated with the creep was also identified, and mapped in three dimensions. Figure 1: Study Area in Context. Elevation contours show elevation before construction of the embankment around 1961 Source: ESRI, QGIS\",\"PeriodicalId\":156801,\"journal\":{\"name\":\"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2018\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4133/SAGEEP.31-034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4133/SAGEEP.31-034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
2017年5月,我们对伊利诺伊州中部一条州际公路的下坡路堤进行了电阻率断层扫描(ERT)调查,该地区已经观察到蠕变破坏超过50年。填充物最深处超过15米(约50英尺),部分位于旧河床中。目前,水是通过路堤下面的箱形涵洞通过河道输送的。自最初施工以来,填充物一直在稳步蔓延,并多次对上面的高速公路造成严重破坏。本研究的目的是对充填体中与地下蠕变相关的破坏进行成像,并确定可能与蠕变相互作用或移动的地下工程。我们使用ABEM Terrameter SAS 4000调查了10个平行的ERT剖面。9个剖面长80米,1个剖面长40米,每个剖面之间间隔10米。我们使用了一个直列偶极-偶极阵列,电极间距为2米(最小“a”间距为2米,最大间距为4米;最小“n”值为1,最大值为8)。这10个剖面使用Geotomo的Res2DInv软件进行处理。地形校正使用GPS和高程数据收集当天的ERT调查。使用ArcScene在测量线之间插值数据,创建伪三维模型,以识别边坡蠕变的关键成分。确定了几个地下物体,包括金属和塑料排水管,烟囱排水管,箱形涵洞,以及最近降雨事件可能产生的地下水柱。识别了与蠕变相关的破坏面,并绘制了三维图。图1:上下文中的研究区域。高程等高线显示1961年左右筑堤前的高程。来源:ESRI, QGIS
PSEUDO THREE-DIMENSIONAL IMAGING OF CREEP FAILURE IN A HIGHWAY EMBANKMENT USING TWO-DIMENSIONAL ELECTRIC EARTH RESISTIVITY
In May 2017, we carried out an electrical resistivity tomography (ERT) survey of the downslope embankment of a state highway in central Illinois where creep failure has been observed for over 50 years. The fill is over 15 meters (~50 feet) at its deepest point and sits partially in an old stream bed. Water is currently conveyed through the channel in a box culvert underneath the embankment. The fill has been steadily creeping since initial construction and has caused severe damage to the highway above on several occasions. The purpose of this study was to image the failure associated with the subsurface creep in the fill and to identify the subsurface engineering works that may be interacting or moving with the creep. We surveyed 10 parallel ERT profiles using an ABEM Terrameter SAS 4000. Nine profiles were 80 meters long and one was 40 meters long, with 10 meter spacing between each profile. We used an inline dipole-dipole array with electrodes spaced 2 meters apart (with a minimum 'a' spacing of 2 meters and a maximum was 4 meters; the minimum 'n' value was 1 and the maximum was 8). These 10 profiles were processed using Geotomo’s Res2DInv software. Topographic corrections were made using GPS and elevation data collected the same day as the ERT survey. The data was interpolated between the survey lines using ArcScene to create a pseudo 3-dimensional model to identify key components of the slope creep. Several underground objects were identified, including metal and plastic drainage pipes, a chimney drain, the box culvert, and possible groundwater plumes from recent rainfall events. The failure surface associated with the creep was also identified, and mapped in three dimensions. Figure 1: Study Area in Context. Elevation contours show elevation before construction of the embankment around 1961 Source: ESRI, QGIS