Backward erosion piping (BEP) is a complex degradation mechanism in geotechnical flood protection infrastructure (GFPI) that still relatively less understood, particularly when considering its time-dependent features. This manuscript presents novel dual random lattice modeling approach for three-dimensional simulation of BEP, with focus on evolution over time. The key novelty this presented framework twofold: (1) we propose and incorporate constitutive relationship computation soil based the...

Abstract This article presents a stochastic modeling approach for simulating the mechanical behavior of pervious concrete, based on novel extensions lattice discrete particle model. Selected digital images internal mesostructure, obtained from physical specimens, are used to survey material features and produce statistically representative descriptions pore networks. A procedure estimating statistical mesostructure is proposed, samples spatially correlated random field utilized numerically...

Backward erosion piping (BEP) has been recognised as a major cause of failures in water-retaining structures. However, the fundamental mechanisms controlling phenomenon are not well understood. This research applies theory rate processes to develop constitutive relationship between energy density seepage flow and soils during evolution BEP. The resulting equation is used analyse four datasets previously reported experimental observations. mechanical parameters estimated through proposed...

Abstract The lattice discrete particle model (LDPM) has been proven to be one of the most appealing computational tools simulate fracture in quasi‐brittle materials. Despite tremendous advancements definition and implementation method, solution strategies are still limited dynamic algorithms, resulting prohibitive costs challenges related accuracy for quasi‐static conditions. This study presents a novel static solver LDPM, introducing fundamental innovation: (1) LDPM constitutive laws...

Lattice discrete particle models (LDPM) effectively relate concrete heterogeneity in terms of coarse aggregate–paste structure to damage patterns and load-displacement response. Interest this type model is enhanced by its ability overcome issues that plague traditional methods, such as mesh dependence need for energy regularization. Herein, an experimental procedure developed identify the mechanical parameters defined at mesoscale. The bounding surface LDPM modified accept mesoscale inputs....

Abstract This article presents a novel multiscale modeling approach to simulate the evolution of backward erosion piping (BEP) process in flood protection systems (FPSs). A multiphase description BEP phenomenon is proposed for numerical solution at local scale and validated by means full‐scale experimental results available literature. Results simulations are used as training set multilayer machine learning (ML) model bridge information between system scales. Accuracy trained ML algorithms...

Digital Twins (DT) provide a critical approach to connecting physical structures and corresponding virtual representations through constant observations-to-decision flows, enabling near real-time analysis assessment of structural health. A component DTs reinforced concrete lies in the definition prognostic capabilities predict/infer system response. This is achieved by devising efficient computational methods for simulation mechanical behavior system. study presents first step Multiscale...

Slipform paving is a complex multistep process encompassing concrete pouring, vibration, consolidation, correction, and curing. One of the most critical aspects in that frequency duration vibration can influence distribution coarse aggregate particles cured concrete. However, there still fundamental lack methodologies to formally characterize interrelationships between characteristics quality pavement. This study aims address this issue by proposing novel toolset for assessment spatial...

Abstract A novel coupled mechanical and mass transport lattice discrete particle model is developed to quantitatively assess the impact of cracks on properties in concrete members subjected short‐ long‐term loading conditions. In approach, two sets dual networks are generated: one resolve response another for analysis. The simulated by mapped onto elements investigate effect global members. new quantitative relationship proposed estimation diffusion coefficient based local crack information,...

The experimental characterization of historical bell towers and wall belfries can provide important information for the calibration numerical models as well to implement proper restoration strategies. Within this framework, presented study is concerned with dynamic assessment an ancient belfry dating back 1537. structure part "Santa Maria in Aracoeli Church" (Rome, Italy), heritage construction placed on summit Capitoline Hill, close building that hosts Major's office. Several field tests...

Lattice models established themselves as a powerful tool to simulate fracture processes in cementitious materials such concrete. The paper presents the main features of this method, together with advancements modeling concrete materials. A historical perspective is also given, highlighting advantages and drawbacks existing mechanics theories numerical methods.