Res2DInv software was used to process the data. Photo & Graphics tools downloads - Res2dinv by Aarhus GeoSoftware and many more programs are available for instant and free download. Optical fibre-based sensors have found a variety of applications throughout engineering and science in the measurement of strain and temperature. A full-scale prototype model is often the ideal simulation of the final product for field application. Susunan dari kotak-kotak ini terikat oleh distribusi dari titik datum dalam pseudosection. Model 2D menggunakan program inversi, yang terdiri dari sejumlah kotak persegi. RMS defines the difference between the measured and calculated apparent resistivities. RES2DINV PENDAHULUAN Res2Dinv adalah sebuah program komputer yang secara otomatis menentukan model resestivity 2D untuk bawah permukaan dari data hasil survey geolistrik. Current commercially available sensing technologies are able to provide strain measurements in the order of microstrain across tens of kilometres of range. RES2DINV tries to minimize the RMS (root mean square error) by adjusting resistivities of the model blocks.

The strong demand for reliable sensing tools in engineering geology allowed for the advancement of the optical fibre technology which has settled in this field during the past decade. In this work we present the results of six laboratory scale experiments in which simulated rainfall induced shallow landslide model made up of non-cohesive soil is equipped with a newly developed coherent fibre optic sensor.Īmong the variety of sensing approaches, interferometric fibre optic sensors have rarely been tested for detection of ground movement. The program offers a simple workflow from data import to inversion and visualization, while still offering full control over inversion parameters for advanced users. Results indicate that a phase of early precursors of instability could be identified by the sensors in all six experiments, two to eight minutes before slope failure. Res2Dinv and res3Dinv are powerful software packages for inversion of 2D and 3D ERT (DC) and IP data. The sensing system proved to be reliable in detecting the evolution of slope stability at shallow depths of up to a few meters depending on the sensors' burial depth, hence stating the emergence of a simple and cost-effective approach for detailed strain monitoring.

Prototype model in res2dinv