Visualization of material stiffness in geomechanics analysis     

Donald C. Wotring  Youssef M. A. Hashash 《国际地质力学数值与分析法杂志》2006,30(1):21-44

This paper presents novel visualization techniques to simplify representation of the fourth‐order material stiffness tensor as a set of three‐dimensional geometric objects. Stiffness visualization aids in understanding the complex stiffness characteristics of highly non‐linear constitutive models including modelled material anisotropy and loading path dependent stiffness variation. Stiffness visualization is relevant for understanding the relationship of material stiffness to global behaviour in the analysis of a boundary value problem. The spherical pulse stiffness visualization method, developed in the acoustics field, is extended to visualize stiffness of geomaterials using three three‐dimensional objects. This method is limited to relatively simple constitutive models with symmetric stiffness matrices insensitive to loading magnitude and direction. A strain dependent stiffness visualization method is developed that allows the examination of material stiffness for a range of loading directions and is suitable for highly non‐linear and path dependent material models. The proposed stiffness visualization can be represented as 3‐D, 2‐D and 1‐D objects. The visualization technique is used to represent material stiffness and its evolution during simulated soil laboratory tests and deep excavation construction. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

Visual framework for development and use of constitutive models     

Youssef M. A. Hashash  Donald C. Wotring  John I‐Chiang Yao  Jung‐Suk Lee  Qingwei Fu 《国际地质力学数值与分析法杂志》2002,26(15):1493-1513

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Consistency of precipitation products over the Arabian Peninsula and interactions with soil moisture and water storage     

Youssef Wehbe  Marouane Temimi  Dawit T. Ghebreyesus  Adam Milewski  Hamid Norouzi  Elsy Ibrahim 《水文科学杂志》2018,63(3):408-425

The regional-scale consistency between four precipitation products from the GPCC, TRMM, WM, and CMORPH datasets over the Arabian Peninsula was assessed. Their macroscale relationships were inter-compared with soil moisture and total water storage (TWS) estimates from AMSR-E and GRACE. The consistency analysis was studied with multivariate statistical hypothesis testing and Pearson correlation metrics for the period from January 2000 to December 2010. The products and GRACE estimates were assessed over a representative sub-domain (United Arab Emirates) with available in situ well observations. Next, geographically temporally weighted regression (GTWR) was employed to examine the interdependencies among the peninsula’s hydrological components. The results showed GPCC-TRMM recording the highest correlation (0.85) with insignificant mean differences over more than 90% of the peninsula. The highest GTWR predictive performance of TWS (R² = 0.84) was achieved with TRMM forcing, which indicates its potential to monitor changes in TWS over the arid peninsular region.  相似文献   

Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model   总被引：10，自引：0，他引：10  

Biswajeet Pradhan  Ahmed M. Youssef  Renuganth Varathrajoo 《地球空间信息科学学报》2010,13(2):93-102

The current paper presents landslide hazard analysis around the Cameron area, Malaysia, using advanced artificial neural networks with the help of Geographic Information System (GIS) and remote sensing techniques. Landslide locations were determined in the study area by interpretation of aerial photographs and from field investigations. Topographical and geological data as well as satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Ten factors were selected for landslide hazard including: 1) factors related to topography as slope, aspect, and curvature; 2) factors related to geology as lithology and distance from lineament; 3) factors related to drainage as distance from drainage; and 4) factors extracted from TM satellite images as land cover and the vegetation index value. An advanced artificial neural network model has been used to analyze these factors in order to establish the landslide hazard map. The back-propagation training method has been used for the selection of the five different random training sites in order to calculate the factor’s weight and then the landslide hazard indices were computed for each of the five hazard maps. Finally, the landslide hazard maps (five cases) were prepared using GIS tools. Results of the landslides hazard maps have been verified using landslide test locations that were not used during the training phase of the neural network. Our findings of verification results show an accuracy of 69%, 75%, 70%, 83% and 86% for training sites 1, 2, 3, 4 and 5 respectively. GIS data was used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool for landslide hazard analysis. The verification results showed sufficient agreement between the presumptive hazard map and the existing data on landslide areas.  相似文献   

Albian extrusion evidences of the Triassic salt and clues of the beginning of the Eocene atlasic phase from the example of the Chitana-Ed Djebs structure (N.Tunisia): Implication in the North African Tethyan margin recorded events, comparisons   总被引：1，自引：0，他引：1  

Mohamed-Montassar Ben Slama  Amara Masrouhi  Mohamed Ghanmi  Mohamed Ben Youssef  Fouad Zargouni 《Comptes Rendus Geoscience》2009,341(7):547-556

In the northern part of Tunisia, close to Testour/Slouguia, new observations and updated biostratigraphy make it possible to highlight the relation between the Triassic saliferous mass and the surrounding Mesozoic beds (T. M.). Near the (T. M.) boundary, the formations observed consist dominantly of Triassic evaporites reworked in the Early and Late Albian deep-water sedimentary deposits. Throughout the studied area, Jurassic rocks are absent. We propose to interpret the Chitana-Ed Djebs structure originally emplaced as gravitational stretch masses in a passive margin in the same way as the salt bodies of widespread salt province in the Gulf of Mexico. A reconstructed schematic position of the Chitana-Ed Djebs salt body displays a scenario of setting of the salt mass on a submarine palaeo-slope. Moreover, the starting clues of the paroxysmal event of the Late Mesozoic tectonic inversion clearly fossilized through the discordance of the Middle Eocene–Early Lutetian limestone on the Albian series.  相似文献   

A novel framework integrating downhole array data and site response analysis to extract dynamic soil behavior   总被引：2，自引：0，他引：2  

Chi-Chin Tsai  Youssef M.A. Hashash   《Soil Dynamics and Earthquake Engineering》2008,28(3):181-197

Seismic site response analysis is commonly used to predict ground response due to local soil effects. An increasing number of downhole arrays are deployed to measure motions at the ground surface and within the soil profile and to provide a check on the accuracy of site response analysis models. Site response analysis models, however, cannot be readily calibrated to match field measurements. A novel inverse analysis framework, self-learning simulations (SelfSim), to integrate site response analysis and field measurements is introduced. This framework uses downhole array measurements to extract the underlying soil behavior and develops a neural network-based constitutive model of the soil. The resulting soil model, used in a site response analysis, provides correct ground response. The extracted cyclic soil behavior can be further enhanced using multiple earthquake events. The performance of the algorithm is successfully demonstrated using synthetically generated downhole array recordings.  相似文献   

GEOGRAPHY IN EGYPT     

Youssef Fayed 《The Professional geographer》1985,37(4):475-476

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Mapping the Pliocene Clay Deposits Using Remote Sensing and its Impact on the Urbanization Developments in Egypt: Case Study,East Sohag Area     

Ahmed Mohamed Youssef 《Geotechnical and Geological Engineering》2008,26(5):579-591

In the current study, Thematic Mapper image was compiled along with field and laboratory investigation results to map the Pliocene clay deposits. These deposits have high swelling potential; consequently they will have a negative impact on the urbanization expansion surrounding the flood plain zone (Low desert zone) in Egypt. Principle Component and Minimum Noise Fraction techniques with the help of supervised classification were successful in the mapping of these deposits. The interpretation shows that the Pliocene clay deposits occupy most of the wadis terraces and part of the wadis floors, and sometimes they covered by Quaternary deposits (1–5 m of sand and gravel). The physio-chemical characteristics of these deposits indicate that the Pliocene clay ranges from silty clay to clay with small amounts of sand. Laboratory analysis (Atterberg limits, saturation degree, and cation exchange capacity) indicate the swelling characteristics of the Pliocene clay. Different classification systems were applied and all reveal the expansive nature of this soil, which should be taken into account for future development in the area.  相似文献   

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio,certainty factor,and index of entropy   总被引：3，自引：0，他引：3  

Haoyuan Hong  Chong Xu  Ahmed M. Youssef  Biswajeet Pradhan  Dieu Tien Bui 《国际地球制图》2017,32(2):139-154

The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for rainfall-induced landslide susceptibility mapping at the Chongren area (China) using geographic information system and remote sensing. First, a landslide inventory map for the study area was constructed from field surveys and interpretations of aerial photographs. Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile curvature, stream power index, sediment transport index, topographic wetness index, distance to faults, distance to rivers, distance to roads, landuse, NDVI, lithology and rainfall were prepared for the landslide susceptibility modelling. Using these data, three landslide susceptibility models were constructed using FR, CF and IOE. Finally, these models were validated and compared using known landslide locations and the receiver operating characteristics curve. The result shows that all the models perform well on both the training and validation data. The area under the curve showed that the goodness-of-fit with the training data is 79.12, 80.34 and 80.42% for FR, CF and IOE whereas the prediction power is 80.14, 81.58 and 81.73%, for FR, CF and IOE, respectively. The result of this study may be useful for local government management and land use planning.  相似文献   

Geochemical and foraminiferal analyses of the bottom sediments of Dammam coast,Arabian Gulf,Saudi Arabia     

Khaled AlKahtany  Mohamed Youssef  Abdelbaset El-Sorogy 《Arabian Journal of Geosciences》2015,8(12):11121-11133

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