Engineering Geology最新文献

{"title":"Impact of geological conceptualization in predicting pore pressure reduction from urban excavations","authors":"Sofie Axéen,&nbsp;Johanna Merisalu,&nbsp;Ezra Haaf,&nbsp;Lars Rosén","doi":"10.1016/j.enggeo.2026.108601","DOIUrl":"10.1016/j.enggeo.2026.108601","url":null,"abstract":"<div><div>Leakage of groundwater and subsequent pore pressure reduction can cause consolidation in subsidence sensitive soils and subsequently pose damage risks to the built environment. This study presents the first systematic, quantitative evaluation of how geological conceptualization – specifically the inclusion or exclusion of permeable sand lenses within glaciomarine clay deposits - affects simulated pore pressure reduction due to groundwater leakage into deep excavations. By employing Multiple Point Statistics (MPS) to generate alternative geological models and integrating these with MODFLOW-NWT transient groundwater simulations, we reveal that the presence and hydraulic connectivity of sand lenses significantly influence the rate and magnitude of pore pressure reduction in clay, which has significant consequences for settlement magnitudes. These findings underscore the importance of explicitly accounting for geological heterogeneity and uncertainty in risk assessment for urban excavations, a factor often neglected in conventional engineering geology practice when assessing settlement hazards and their consequences for the surrounding areas.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108601"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ground motion forecasting for the 2023 Al-Haouz and 2004 Al-Hoceima earthquakes in Morocco: The use of Mdesign definition","authors":"Hany M. Hassan ,&nbsp;Antonella Peresan ,&nbsp;Mohamed ElGabry ,&nbsp;Mimoun Chourak ,&nbsp;Giuliano Panza","doi":"10.1016/j.enggeo.2026.108600","DOIUrl":"10.1016/j.enggeo.2026.108600","url":null,"abstract":"<div><div>The 2023 Al-Haouz earthquake (<em>M</em>_W 6.8) revealed shortcomings in Morocco's seismic hazard forecasts, evidencing the need for improved data and approaches. This study extends the Neo-Deterministic Seismic Hazard Assessment (NDSHA) to the use of design magnitude (<em>M</em>_design) definition. We validated the approach, through testing the performance of ground shaking maps computed for bedrock site condition with respect to the 2023 Al-Haouz (<em>M</em>_W 6.8) and the 2004 Al-Hoceima earthquakes (<em>M</em>_W 6.4).</div><div>Using three seismicity catalogues (all truncated to 2012), we generated NDSHA ground shaking maps. Magnitudes were incremented, according to the Panza-Rugarli law<em>,</em> by <em>γ</em>_EM<em>σ</em>_M = 0.5 (<em>γ</em>_EM = 2) and 0.7 (<em>γ</em>_EM = 2.8) respectively, and the predicted peak ground acceleration were compared to recorded data. The results show that the Morocco catalogue with <em>M</em>_design increment values could accurately forecast the ground shaking recorded for the 2023 earthquake.</div><div>The analysis demonstrates that NDSHA maps integrated by <em>M</em>_design may significantly reduce underprediction biases, especially for strong intraplate earthquakes. We conclude that <em>M</em>_design is a crucial prerequisite for reliable seismic hazard assessments in regions with sparse seismicity data, thereby enhancing predictive reliability for risk mitigation in Morocco and similar intraplate seismotectonic settings.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108600"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progressive modification of quartz sand under freeze-thaw weathering: Identification of critical particle size","authors":"Qi Liu ,&nbsp;Ze Zhang ,&nbsp;Xu Chunguang ,&nbsp;Qingkai Yan ,&nbsp;Zhiyuan Wang ,&nbsp;Yaqi Zhang ,&nbsp;Anderi Zhang ,&nbsp;Torgovkin Nikolai","doi":"10.1016/j.enggeo.2026.108598","DOIUrl":"10.1016/j.enggeo.2026.108598","url":null,"abstract":"<div><div>Freeze–thaw cycles (FTCs) profoundly influence the mechanical stability of sandy soils in cold regions, yet the micro-mechanisms governing their grain size and morphology evolution remain insufficiently understood. This study investigates the fragmentation and morphological evolution of quartz sand subjected to 1000 FTCs. The results reveal that freeze–thaw action drives a progressive ‘coarsening-to-fining’ shift in grain size distribution. This transition reaches stage-specific dynamic equilibria through successive particle breakage and abrasion. Morphologically, angular particles undergo selective edge abrasion, exhibiting a progressive transition from angular to structurally regular geometries. We identify a critical particle size for freeze-thaw weathering of quartz that lies within the coarse silt range (0.01–0.05 mm). The fining process reflects a gradual reduction of lattice defects until particles reach a stable size with enhanced resistance to breakage. These findings systematically elucidate the particle fragmentation supply behavior of quartz sand under freeze-thaw weathering and provide a microstructural basis for improving predictive models of freeze-thaw related geohazards in cold regions.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108598"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Catena matters: Enhancing landslide prediction with soil profile characteristics and explainable AI","authors":"A.L. Achu ,&nbsp;C.D. Aju ,&nbsp;Jobin Thomas ,&nbsp;Girish Gopinath","doi":"10.1016/j.enggeo.2026.108599","DOIUrl":"10.1016/j.enggeo.2026.108599","url":null,"abstract":"<div><div>Landslide activity is driven by complex interactions among geo-environmental factors, yet most machine-learning-based landslide susceptibility models primarily rely on topographic variables derived from digital elevation models (DEMs), often neglecting the role of depth-dependent soil profile characteristics. This study addresses this gap and advances landslide predictive capabilities by integrating soil geotechnical and hydrological properties at multiple soil profile depths using a Random Forest (RF) model framework coupled with the Shapely additive explanations (SHAP)-based explainable artificial intelligence (XAI) for model interpretability. Demonstrated in the Muthirapuzha River Basin (MRB) of the southern Western Ghats (SWG), India, the study compares both grid unit-based (GUB) and slope unit-based (SUB) mapping approaches. Results suggest that integrating soil properties at multiple depths (10 cm, 110 cm, and 210 cm) significantly improves model accuracy and minimises overestimation compared to a model relying solely on topographic variables. Key predictors included field capacity (FCY), chemical index of alteration (CIA), liquid limit (LLT), and unsaturated hydraulic conductivity (K_unsat), alongside topographic factors, such as slope angle and topographic wetness index (TWI). SUB approach outperforms GUB in terms of area under the receiver operating characteristic curve (AUROC) and provides a better understanding of landslide depth and volume. SHAP values and waterfall plots are critical in interpreting model predictions and elucidating feature contributions, enhancing their potential for site-specific landslide risk assessments. The consistency of variable importance rankings across mapping units further reinforces the robustness of the selected predictors. This study highlights the critical role of soil profile characteristics in landslide susceptibility modelling and advocates integrating XAI techniques to enable transparent, physically meaningful predictions in mountainous regions.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108599"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Competition between thermoelastic process and mineral reaction on fracture flow channeling: Implications for long-term thermal performance of EGS reservoirs","authors":"Fan Zeng ,&nbsp;Hui Wu ,&nbsp;Guofeng Song ,&nbsp;Yufei Wang ,&nbsp;Jiayan Ji","doi":"10.1016/j.enggeo.2026.108610","DOIUrl":"10.1016/j.enggeo.2026.108610","url":null,"abstract":"<div><div>Fracture flow channeling stemming from heterogeneous aperture distribution is a widely observed phenomenon in enhanced geothermal systems (EGSs) and has been considered a main cause of unsatisfying thermal extraction performance. Many numerical studies have been performed to quantify the impact of flow channeling on thermal performance, while the dynamic evolution of flow channeling under complex thermo-hydro-mechanical-chemical (THMC) coupled processes remains underexplored. This study develops a 3D field-scale THMC coupled EGS model with heterogeneous fracture apertures to systematically investigate the individual and joint effects of thermoelastic process and mineral reaction on fracture flow channeling and long-term thermal performance. The results demonstrate that during long-term injection of undersaturated water, the thermoelastic process leads to aperture enlargement in low-temperature zones, intensifying flow channeling, whereas the mineral dissolution preferentially enlarges fracture aperture in high-temperature zones, leading to flow dispersion. These two mechanisms exhibit strong physicochemical feedbacks: the mineral dissolution counteracts thermoelastic-induced flow channeling by enlarging heat exchange zones and homogenizing thermal stress distributions, while the thermoelastic process enhances the effect of mineral dissolution by narrowing heat exchange zones. Parametric analyses further reveal that reservoirs with higher rock elastic modulus and lower fracture stiffness are more susceptible to severe thermoelastic-induced flow channeling, whereas higher injection temperatures, lower injection concentrations, and greater reactive mineral content enhance the mitigating effect of mineral dissolution. These findings suggest that long-term thermal performance of EGSs can be optimized by selecting reservoirs with low elastic modulus, high fracture stiffness, and abundant reactive minerals, combined with high-temperature, undersaturated injection strategies.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108610"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering geological classification of gravelly deposits based on enhanced CPT","authors":"Yu-xiao Wang ,&nbsp;Guang-yin Du ,&nbsp;Tao Ma ,&nbsp;Yong-min Xiong ,&nbsp;Yu Xiao","doi":"10.1016/j.enggeo.2026.108588","DOIUrl":"10.1016/j.enggeo.2026.108588","url":null,"abstract":"<div><div>Gravelly soils extensively developed in Quaternary deposits challenges for engineering geological investigations due to strong heterogeneity, leading to discontinuous profiling, stratigraphic misinterpretation, and greater investigation cost and longer duration. In such cases, conventional cone penetration testing (CPT), although effective in fine-grained soils, is inapplicable to gravelly deposits because of equipment limitations. To overcome the limitations, an enhanced CPT system was proposed and applied to achieve efficient penetration and high-resolution subsurface profiling in coarse deposits. Field investigations were then conducted using this system, and the acquired data, validated against borehole data, were analyzed to develop an engineering classification framework for gravelly soils based on CPT-derived indices. Results show that conventional CPT-based approaches have difficulty distinguishing gravelly soils from fine- or sand-dominated soils, whereas incorporating cone resistance, friction ratio, and their fluctuation characteristics enables clear discrimination. Based on response patterns of CPT, three engineering-relevant gravelly soil can be further classified into three types: gravel-rich, sand-interbedded, and fine-interlayered. This work fills a critical gap in CPT-based investigation of gravelly soils, offering an effective approach that improves the efficiency and accuracy of engineering geological investigation in gravelly strata.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"364 ","pages":"Article 108588"},"PeriodicalIF":8.4,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslide displacement prediction based on deep displacement state recognition and similarity propagation","authors":"Hanming Zhang,&nbsp;Xiangchen Guo,&nbsp;Kang Liu,&nbsp;Qingsong Liu,&nbsp;Jianhao Xiao,&nbsp;Yu Ke,&nbsp;Yong Liu","doi":"10.1016/j.enggeo.2026.108570","DOIUrl":"10.1016/j.enggeo.2026.108570","url":null,"abstract":"<div><div>Current landslide forecasting is constrained by an over-reliance on surface kinematics, often failing to capture the hidden, non-linear state transitions occurring at depth. To address this, we propose a Trend–State Coupled Framework that shifts the framework from purely externally driven to state-dependent prediction. A trend submodel maps hydrometeorological triggers to displacement baselines, while a state submodel explicitly characterizes internal sensitivity using Non-parametric Bispectral Analysis. Unlike conventional time-frequency methods, this indicates nonlinear phase couplings associated with incipient instability, which are then classified into evolutionary states by a Convolutional Neural Network (CNN). To enhance spatial generalizability, a Slope Cell Matrix is constructed to integrate excitation–state–response information, enabling the cross-site propagation of state variables via a particle-swarm-optimized similarity metric. Validation at the Baishuihe landslide (Three Gorges Reservoir) demonstrates that the coupled model achieves an RMSE of 7.22 mm, significantly outperforming traditional BP (68.06 mm) and SVR (63.81 mm) models. Crucially, the deep-displacement state indicators exhibit a distinct precursory surge ahead of surface acceleration episodes, confirming the framework's capability to capture early failure mechanisms. This study provides a reliable, physically interpretable approach for landslide early warning by linking external drivers with deep-seated evolutionary dynamics.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"363 ","pages":"Article 108570"},"PeriodicalIF":8.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elastodynamic imaging of voids in a PML-truncated layered solid using a deep convolutional neural network","authors":"Boyoung Kim ,&nbsp;Shashwat Maharjan ,&nbsp;Bruno Guidio ,&nbsp;Jacob Thomas ,&nbsp;Fazle Mahdi Pranto ,&nbsp;Chanseok Jeong","doi":"10.1016/j.enggeo.2026.108545","DOIUrl":"10.1016/j.enggeo.2026.108545","url":null,"abstract":"<div><div>Voids in the subsurface pose significant challenges to infrastructure stability and safety, often leading to structural failures and costly repairs. In this study, we propose a deep convolutional neural network (DCNN) framework for elastodynamic imaging of voids in a semi-infinite soil domain truncated by non-convolutional second-order complex-frequency-shifted perfectly matched layers (CFS-PML). The method employs element-wise classification to map void probabilities within the domain using elastodynamic surface responses from non-scanning type probing. The training datasets are generated using a level-set wave solver, producing input-layer features from measured surface responses and output-layer features as element grid maps indicating void probabilities. The DCNN is trained to predict the void probability in each element and reconstructs targeted voids by clustering high-probability elements. Numerical results demonstrate that, via rigorous out-of-distribution tests, the proposed DCNN can effectively detect and image voids, including those with complex shapes that were not even included in training data. The model’s performance remains stable under receiver uncertainties, including measurement noise and random tilting, with noise-trained models showing notably improved robustness. It also yields reasonable predictions under sparse receiver layouts and maintains stable performance across material-property variations. Compared with full-waveform inversion, our DCNN offers more accurate reconstructions, making void locations clearer. This study highlights the potential of integrating advanced deep-learning techniques with wave propagation models for improved subsurface exploration and characterization.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"363 ","pages":"Article 108545"},"PeriodicalIF":8.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional-scale inventory and initial analysis of liquefaction triggered by the 2025 Mw 7.7 Mandalay earthquake, Myanmar","authors":"Sotiris Valkaniotis ,&nbsp;George Papathanassiou ,&nbsp;Janusz Wasowski ,&nbsp;Maria Taftsoglou ,&nbsp;Ranjan Kumar Dahal","doi":"10.1016/j.enggeo.2026.108543","DOIUrl":"10.1016/j.enggeo.2026.108543","url":null,"abstract":"<div><div>On March 28, 2025, a Mw 7.7 earthquake struck central Myanmar, rupturing a ∼ 500 km segment of the strike-slip Sagaing Fault. The earthquake produced widespread structural damage and co-seismic ground failures, including extensive liquefaction and lateral spreading. Although field observations and remote assessments have reported numerous liquefaction occurrences, no comprehensive regional-scale inventory was produced. This study presents the first systematic mapping and analysis of earthquake-induced liquefaction associated with the 2025 Mandalay event, using medium resolution (10 m) Copernicus Sentinel-2 satellite imagery acquired in the immediate aftermath of the earthquake.</div><div>We identified over 18,000 liquefaction sites within an area of more than 80,000 km², with the highest concentrations along the Irrawaddy and Sittang River valleys, in vicinity to the fault rupture. Liquefaction predominantly occurred in Holocene fluvial environments, including meandering channels, floodplains, and abandoned paleochannels, reflecting the influence of geomorphology and sediment characteristics. Over 95 % of the sites were located within 20 km of the fault rupture, confirming that rupture proximity is a more reliable predictor of liquefaction hazard than epicentral distance alone. This is consistent with the very large length of the ruptured fault, off-center location of the mainshock epicenter and the significant (∼3 m on average) surface slip documented throughout much of the rupture.</div><div>The scale of liquefaction observed, particularly the extensive lateral spreading and ground deformation along the Irrawaddy River near Mandalay, indicate that this event may represent one of the largest regional liquefaction occurrences during the last few decades. Our results demonstrate the importance of integrating geomorphic, lithological, and seismic parameters into regional-scale assessments of seismic hazard. The liquefaction inventory offers critical insights for post-earthquake risk evaluation in Myanmar and for mitigating future co-lateral seismic hazards in tectonically active fluvial regions.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"363 ","pages":"Article 108543"},"PeriodicalIF":8.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of fracture mechanisms and potential instability modes in high-steep rock slopes using microseismic moment tensors: a case study","authors":"Haiyang Liu ,&nbsp;Kaikai Wang ,&nbsp;Ke Ma ,&nbsp;Di Wu ,&nbsp;Ziming Wang","doi":"10.1016/j.enggeo.2026.108561","DOIUrl":"10.1016/j.enggeo.2026.108561","url":null,"abstract":"<div><div>The right-bank slope of the Dongzhuang Water Conservancy Project is characterized by steep relief and complex geology, making it susceptible to instability and challenging to evaluate. To monitor rock fracturing during excavation in real time, a high-precision microseismic monitoring system was deployed. A hybrid moment tensor inversion method helps to reveal the source mechanisms of these fractures. The study integrates geological anti-sliding analysis with borehole testing to identify compromised structural planes and assess the risk of potential sliding blocks. Most microseismic events are compressive fractures, predominantly located in high-stress zones and controlled by steep structural planes. Shear fractures constitute 17.86%, associated with pre-existing weaknesses, while tensile fractures occur mostly near free surfaces. Fracture sequences are classified into three categories based on source mechanisms. Sequence I is dominated by tensile-shear fractures. Sequence II shows a mix of shear-tensile and shear-compressive types with clear transitions. Sequence III exhibits variations between compressive-shear and tensile-shear fracturing. Two high-risk structural plane combinations (Mode II and Mode V) were detected on the right dam shoulder. These are controlled by mud-filled fractures (Rnj3), a fault (f5), and a bedding fracture (L60), and are consistent with field monitoring results.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"363 ","pages":"Article 108561"},"PeriodicalIF":8.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}