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Article
A data enhancement-based quadratic imputation framework for consecutive missing values considering spatiotemporal characteristics of dam deformation
High-quality prototype observations are the basis for a comprehensive analysis of dam structural behavior. However, missing values, especially consecutive missing values (CMVs), are a major barrier. This paper...
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Chapter and Conference Paper
A Robust Operational Modal Analysis Method and Its Application to a Concrete Arch-Gravity Dam
This paper deals with a recently developed operational modal analysis algorithm with emphasize on its theoretical basis and application. The algorithm establishes a connection between the second order blind id...
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Article
A real-time multi-defect automatic identification framework for concrete dams via improved YOLOv5 and knowledge distillation
Accurately identifying and differentiating multiple structural defects of concrete dams is of great significance for gras** the damage level of dams after long-term service. The conventional manual inspectio...
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Article
Photocatalytic nitrogen fixation over flower-like molecular cobalt phthalocyanine@ZnIn2S4 heterojunctions under visible-light irradiation
Molecular catalysts (such as metal phthalocyanine (Pc) molecules) have been widely utilized in homogeneous catalytic systems. However, its practical application is still hindered by the weak stability and diff...
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Article
A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams
Develo** a deformation prediction model with strong robustness and applicability based on monitoring data is an important task in establishing a safety monitoring system for super high arch dams. This study ...
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Article
VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement prediction
The safety and health monitoring of dams has attracted increasing attention. In this paper, a novel prediction model based on variational autoencoder (VAE) and temporal attention-based long short-term memory (...
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Article
A Novel Damage Sensitive Feature Extraction Method of the Concrete Dam
The damage identification of concrete dams provides a crucial alternative to assess their current conditions, and can provide continual safety evaluation throughout their whole lifespan. A novel data mining ap...
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Article
Data-driven crack behavior anomaly identification method for concrete dams in long-term service using offline and online change point detection
Cracking is a common threat to dam structural safety. It is desirable to establish models that can accurately assess the influence of cracks on the structural safety of concrete dams in time. The structural co...
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Article
A Hybrid Model Integrating Principal Component Analysis, Fuzzy C-Means, and Gaussian Process Regression for Dam Deformation Prediction
Dam behavior prediction model is a fundamental component of dam structural health monitoring systems. As the most intuitive monitoring indicators, deformation is commonly used to reflect the dam behavior chang...
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Article
Fractional order creep model for dam concrete considering degree of hydration
Concrete is a material that is an intermediate between an ideal solid and an ideal fluid. The creep of concrete is related not only to the loading age and duration, but also to its temperature and temperature ...
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Article
Transformation from Measured Strains to Viscoelastic Stresses considering Temperature History for Concrete Dams
Strain and stress monitoring is an important approach for evaluating the stress state of concrete dams. Since the hydration rate of cement increases with increasing temperature, the parameters of the thermal a...
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Article
Observed displacement data-based identification method of deformation time-varying effect of high concrete dams
The long-term safety of high concrete dams has become the focus and central issues of public attention. Deformation is an actual comprehensive reflection of concrete dams. Especially the deformation time-varyi...
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Article
Open AccessResearch on early-warning index of the spatial temperature field in concrete dams
Warning indicators of the dam body’s temperature are required for the real-time monitoring of the service conditions of concrete dams to ensure safety and normal operations. Warnings theories are traditionally...
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Article
Parameter sensitivity and inversion analysis of a concrete faced rock-fill dam based on HS-BPNN algorithm
Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam (CFRD) and its displacements, the harmony search (HS) algorithm is used to optimize the back pro...
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Article
Crack status analysis for concrete dams based on measured entropy
The integrity and safety of concrete dams are seriously affected by the existing cracks in dam bodies, and some serious cracks may cause dam failure or disaster. The propagation of cracks in concrete dams is a...
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Article
RETRACTED ARTICLE: Common genetic variants in microRNA processing machinery genes are associated with risk and survival in patients with osteosarcoma
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Article
Identification of serum microRNAs in genome-wide serum microRNA expression profiles as novel noninvasive biomarkers for malignant peripheral nerve sheath tumor diagnosis
Recent studies found that serum microRNAs (miRNAs) could serve as stable and noninvasive biomarkers for disease diagnosis. We used genome-wide serum miRNA expression analysis to investigate the role of serum m...
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Article
A plastic damage model for concrete structure cracks with two damage variables
Based on the concepts of continuum damage theory, a new plastic damage model for concrete crack failure is developed through studying the basic damage mechanics. Two damage variables, tensile damage variable f...
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Article
An unsupervised approach to modeling personalized contexts of mobile users
Mobile context modeling is a process of recognizing and reasoning about contexts and situations in a mobile environment, which is critical for the success of context-aware mobile services. While there are prio...
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Article
Abnormality monitoring model of cracks in concrete dams
The abnormality monitoring model (AMM) of cracks in concrete dams is established through integrating safety monitoring theories with abnormality diagnosis methods of cracks. In addition, emphasis is placed on ...
