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Structural degradation assessment of a preheater tower in a cement plant in Peru

Case Studies in Construction Materials 2025年 22卷

作者： Barboza, Paula Martinelli, Enzo Etse, Guillermo Department of Civil Engineering University of Salerno Italy Center for Numerical and Computational Methods in Engineering National University of Tucuman Argentina

This article examines the structural behavior of a paradigmatic case in the cement industry: an existing reinforced concrete (RC) Preheater Tower (PT). The study focuses on assessing the degradation caused by the severe operational conditions of these industrial facilities and evaluating the consequent impact on structural safety. PTs are defined by their considerable total and inter-platform heights, substantial live loads on all platforms and prolonged exposure to high temperatures from the clinker preheating process. These factors pose significant structural challenges in ensuring long-term safety. Unlike previous studies, this research provides a more comprehensive analysis by investigating scenarios that are likely to occur throughout the lifecycle of critical industrial structures like PTs. Through in situ non-destructive dynamic tests conducted on all platforms and detailed finite element (FE) modeling, a rigorous calibration process was carried out to match observed vibration frequencies at different levels. The obtained parameters were then compared with the mechanical properties of concrete after long-term exposure to elevated temperatures. The analysis reveals that PTs in the cement industry undergo significant degradation due to prolonged exposure to medium and high temperatures. This concern is particularly critical in high-seismic-risk zones and in cases where inadequate maintenance results in the loss of necessary thermal insulation in cyclones and ducts—especially the platform over the kiln, which is the most vulnerable to high temperature exposure. Overall, this study establishes a reliable methodology for evaluating PTs safety by integrating on-site vibration analysis, FE structural modeling, and predictive modeling for PT under frequent seismic events. © 2025 The Authors

关键词： Cements

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A deterministic pathogen transmission model based on high-fidelity physics

arXiv

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arXiv 2022年

作者： Löhner, Rainald Antil, Harbir Gimenez, Juan Marcelo Idelsohn, Sergio Oñate, Eugenio Center for Computational Fluid Dynamics College of Science George Mason University FairfaxVA22030-4444 United States Department of Mathematical Sciences George Mason University FairfaxVA22030 United States CIMNE International Center for Numerical Methods in Engineering Barcelona Spain ICREA Catalan Institution for Research and Advanced Studies

A deterministic pathogen transmission model based on high-fidelity physics has been developed. The model combines computational fluid dynamics and computational crowd dynamics in order to be able to provide accurate tracing of viral matter that is exhaled, transmitted and inhaled via aerosols. The examples shown indicate that even with modest computing resources, the propagation and transmission of viral matter can be simulated for relatively large areas with thousands of square meters, hundreds of pedestrians and several minutes of physical time. The results obtained and insights gained from these simulations can be used to inform global pandemic propagation models, increasing substantially their accuracy. Copyright © 2022, The Authors. All rights reserved.

关键词： Finite element method

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Validating the predictions of mathematical models describing tumor growth and treatment response

arXiv

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arXiv 2025年

作者： Lorenzo, Guillermo Hormuth, David A. Wu, Chengyue Pash, Graham Chaudhuri, Anirban Lima, Ernesto A.B.F. Okereke, Lois C. Patel, Reshmi Willcox, Karen Yankeelov, Thomas E. Group of Numerical Methods in Engineering Department of Mathematics University of A Coruña Spain Oden Institute for Computational Engineering and Sciences The University of Texas at Austin AustinTX United States Livestrong Cancer Institutes The University of Texas at Austin AustinTX United States Department of Imaging Physics The University of Texas MD Anderson Cancer Center HoustonTX United States Department of Breast Imaging The University of Texas MD Anderson Cancer Center HoustonTX United States Department of Biostatistics The University of Texas MD Anderson Cancer Center HoustonTX United States Institute for Data Science in Oncology The University of Texas MD Anderson Cancer Center HoustonTX United States Texas Advanced Computing Center The University of Texas at Austin AustinTX United States Department of Biomedical Engineering The University of Texas at Austin AustinTX United States Department of Diagnostic Medicine The University of Texas at Austin AustinTX United States Department of Oncology The University of Texas at Austin AustinTX United States

Despite advances in methods to interrogate tumor biology, the observational and population-based approach of classical cancer research and clinical oncology does not enable anticipation of tumor outcomes to hasten the discovery of cancer mechanisms and personalize disease management. To address these limitations, individualized cancer forecasts have been shown to predict tumor growth and therapeutic response, inform treatment optimization, and guide experimental efforts. These predictions are obtained via computer simulations of mathematical models that are constrained with data from a patient’s cancer and experiments. This book chapter addresses the validation of these mathematical models to forecast tumor growth and treatment response. We start with an overview of mathematical modeling frameworks, model selection techniques, and fundamental metrics. We then describe the usual strategies employed to validate cancer forecasts in preclinical and clinical scenarios. Finally, we discuss existing barriers in validating these predictions along with potential strategies to address them. © 2025, CC BY-NC-ND.

关键词： Prediction models

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A posteriori goal-oriented bounds for the poisson problem using potential and equilibrated flux reconstructions: Application to the hybridizable discontinuous Galerkin method

arXiv

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arXiv 2021年

作者： Parés, Nuria Nguyen, Ngoc-Cuong Díez, Pedro Peraire, Jaume Universitat Politècnica de Catalunya Jordi Girona 1-3 BarcelonaE 08034 Spain International Centre for Numerical Methods in Engineering CIMNE Barcelona Spain Center for Computational Engineering Department of Aeronautics and Astronautics Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States

We present a general framework to compute upper and lower bounds for linear-functional outputs of the exact solutions of the Poisson equation based on reconstructions of the field variable and flux for both the primal and adjoint problems. The method is devised from a generalization of the complementary energy principle and the duality theory. Using duality theory, the computation of bounds is reduced to finding independent potential and equilibrated flux reconstructions. A generalization of this result is also introduced allowing to derive alternative guaranteed bounds from nearly-arbitrary H(div;Ω) flux reconstructions (only zero-order equilibration is required). This approach is applicable to any numerical method used to compute the solution. In this work, the proposed approach is applied to derive bounds for the hybridizable discontinuous Galerkin (HDG) method. An attractive feature of the proposed approach is that superconvergence on the bound gap is achieved, yielding accurate bounds even for very coarse meshes. numerical experiments are presented to illustrate the performance and convergence of the bounds for the HDG method in both uniform and adaptive mesh refinements. Copyright © 2021, The Authors. All rights reserved.

关键词： Galerkin methods

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Detailed simulation of viral propagation in the built environment

arXiv

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arXiv 2020年

作者： Löhner, Rainald Antil, Harbir Idelsohn, Sergio Oñate, Eugenio Center for Computational Fluid Dynamics College of Science George Mason University FairfaxVA22030-4444 United States Center for Mathematics and Artificial Intelligence College of Science George Mason University FairfaxVA22030-4444 United States ICREA Catalan Institution for Research and Advanced Studies CIMNE International Center for Numerical Methods in Engineering Barcelona Spain CIMNE International Center for Numerical Methods in Engineering Barcelona Spain

A summary is given of the mechanical characteristics of virus contaminants and the transmission via droplets and aerosols. The ordinary and partial differential equations describing the physics of these processes with high fidelity are presented, as well as appropriate numerical schemes to solve them. Several examples taken from recent evaluations of the built environment are shown, as well as the optimal placement of sensors. Copyright © 2020, The Authors. All rights reserved.

关键词： Viruses

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Cardiac computational modelling

引用

Revista espanola de cardiologia (English ed.) 2021年第1期74卷 65-71页

作者： Jean R Bragard Oscar Camara Blas Echebarria Luca Gerardo Giorda Esther Pueyo Javier Saiz Rafael Sebastián Eduardo Soudah Mariano Vázquez Grupo de Biofísica (BIOFIS) Departamento de Física y Matemática Aplicada Universidad de Navarra Pamplona Navarra Spain. Sensing in Physiology and Biomedicine (PhySense) Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain. Grupo de Biología Computacional y Sistemas Complejos (BIOCOM-SC) Universitat Politècnica de Catalunya Barcelona Spain. Basque Center for Applied Mathematics (BCAM) Bilbao Vizcaya Spain. Biomedical Signal Interpretation and Computational Simulation (BSICoS) Universidad de Zaragoza CIBER-BBN Zaragoza Spain. Centro de Investigación e Innovación en Bioingeniería (Ci2B) Universitat Politècnica de València Valencia Spain. Electronic address: jsaiz@ci2b.upv.es. Computational Multiscale Simulation Lab (CoMMLab) Universitat de València Burjassot Valencia Spain. International Centre for Numerical Methods in Engineering (CIMNE) Universitat Politècnica de Catalunya Barcelona Spain. Barcelona Supercomputing Center & ELEM Biotech Barcelona Spain.

Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's response. Within this framework, the Spanish Research Network for Cardiac computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following specific objectives: a) to integrate the different numerical methods and models taking into account the specificity of patients; b) to assist in advancing knowledge of the mechanisms associated with cardiac and vascular diseases; and c) to support the application of different personalized therapies. This article presents the current state of cardiac computational modelling and different scientific works conducted by the members of the network to gain greater understanding of the characteristics and usefulness of these models.

关键词： Cardiac models Cardiovascular models Modelos cardiacos Modelos cardiovasculares Modelos específicos de paciente Modelos multiescala Multiscale modelling Patient-specific models

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Drag reduction via turbulent boundary layer flow control

引用

Science China(Technological Sciences) 2017年第9期60卷 1281-1290页

作者： ABBAS Adel BUGEDA Gabriel FERRER Esteban FU Song PERIAUX Jacques PONS-PRATS Jordi VALERO Eusebio ZHENG Yao School of Aeronautics Escuela Tecnica Superior de lngenierla Aeronautica y del Espacio de la Universidad Politecnica de Madrid (ETS1.4E-UPM) Universidad Politecnica de Madrid Pza. Cardenal Cisneros 3 Madrid E-28040 Spain International Center for Numerical Methods in Engineering (CIMNE) Gran Capita s/n Campus Nord UPC Barcelona 08034 Spain Civil and Environmental Department Universitat Politecnica de Catalunya. BarcelonaTech Gran Capita s/n Campus Nord UPC Barcelona 08034 Spain Centre for Computational Simulation-UPM Scientific and Technological Park (Campus Montegancedo) 28223 Pozuelo de Alarcon Spain School of Aerospace Engineering Tsinghua University Beijing 100084 China School of Aeronautics andAstronautics Zhejiang University Hangzhou 310027 China

Turbulent boundary layer control(TBLC) for skin-friction drag reduction is a relatively new technology made possible through the advances in computational-simulation capabilities,which have improved the understanding of the flow structures of *** in micro-electronic technology have enabled the fabrication of active device systems able to manipulating these *** combination of simulation,understanding and micro-actuation technologies offers new opportunities to significantly decrease drag,and by doing so,to increase fuel efficiency of future *** literature review that follows shows that the application of active control turbulent skin-friction drag reduction is considered of prime importance by industry,even though it is still at a low technology readiness level(TRL).This review presents the state of the art of different technologies oriented to the active and passive control for turbulent skin-friction drag reduction and contributes to the improvement of these technologies.

关键词： turbulent boundary layer flow control drag reduction skin-friction drag reduction

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On the issue that Finite Element discretizations violate, nodally, Clausius’s postulate of the second law of thermodynamics

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Advanced Modeling and Simulation in engineering Sciences 2016年第1期3卷 1-18页

作者： Limache, Alejandro Idelsohn, Sergio CIMEC-Research Center of Computational Methods (UNL/CONICET) Ruta 168 s/n Predio Conicet “Dr A. Cassano” Santa Fe 3000 Argentina International Center for Numerical Methods in Engineering (CIMNE) Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain

Discretization processes leading to numerical schemes sometimes produce undesirable effects. One potentially serious problem is that a discretization may produce the loss of validity of some of the physical principles or mathematical properties originally present in the continuous equation. Such loss may lead to uncertain results such as numerical instabilities or unexpected non-physical solutions. As a consequence, the compatibility of a discrete formulation with respect to intrinsic physical principles might be essential for the success of a numerical scheme. This paper addresses such type of issue. Its main objective is to demonstrate that standard Finite Element discretizations of the heat conduction equation violate Clausius’s postulate of the second law of thermodynamics, at nodal level. The problem occurs because non-physical, reversed nodal heat-fluxes arise in such discretizations. Conditions for compatibility of discrete nodal heat-fluxes with respect to Clausius’s postulate are derived here and named discrete thermodynamic compatibility conditions (DTCC). Simple numerical examples are presented to show the undesirable consequences of such failure. It must be pointed out that such DTCCs have previously appeared in the context of the study of the conditions that make discrete solutions to satisfy the discrete maximum principle (DMP). However, the present article does not put attention on such mathematical principle but on the satisfaction of a fundamental physical one: the second law of thermodynamics. Of course, from the presented point of view, it is clear that the violation of such fundamental law will cause, among different problems, the violation of the DMP. © 2016, Limache and Idelsohn.

关键词： Clausius’s postulate Finite Element discretization Heat equation Violation of the second law of thermodynamics

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Synthesis of hybrid computational fluid dynamics results for F-16XL aircraft aerodynamics

Synthesis of hybrid computational fluid dynamics results for...

引用

作者： Luckring, James M. Park, Michael A. Hitzel, Stephan M. Jirásek, Adam Lofthouse, Andrew J. Morton, Scott A. Mcdaniel, David R. Rizzi, Arthur Tomac, Maximillian NASA Langley Research Center Configuration Aerodynamics Branch HamptonVA23681 United States Computational AeroSciences Branch Airbus Military Aircraft Manching85077 Germany Swedish Defence Research Agency Aerodynamic Design and Numerical Methods Flight Physics Airbus Defense and Space Stockholm16490 Sweden Department of Aeronautics U.S. Air Force Academy Colorado SpringsCO80840 United States U.S. Department of Defense Eglin Air Force BaseFL32542 United States Department of Aeronautical and Vehicle Engineering Royal Institute of Technology Stockholm10044 Sweden Department of Fluid Dynamics FS Dynamics Stockholm16970 Sweden

A synthesis is presented of recent numerical predictions for the F-16XL aircraft flowfields and aerodynamics. The computational analyses were all performed with hybrid Reynolds-Averaged Navier-Stokes/large-eddy simulation formulations, with an emphasis on unsteady flows and associated aerodynamics, and results from five computational methods are included. The work focused on one particular low-speed high angle-of-Attack flight-Test condition, and comparisons against flight-Test data are included. This work represents the third coordinated effort using the F-16XL aircraft, and a unique flight-Test dataset, to advance the knowledge of slender airframe aerodynamics as well as the capability for predicting these aerodynamics with advanced computational fluid dynamics formulations. The prior efforts were identified as the Cranked-Arrow Wing Aerodynamics Project International.

关键词： computational fluid dynamics

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3D numerical models using a fluid or a solid formulation of FSW processes with a non-cylindrical pin

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Advanced Modeling and Simulation in engineering Sciences 2015年第1期2卷 1-19页

作者： Bussetta, Philippe Dialami, Narges Chiumenti, Michele Agelet de Saracibar, Carlos Cervera, Miguel Boman, Romain Ponthot, Jean-Philippe Department of Aerospace and Mechanical Engineering Non Linear Computational Mechanics University of Liège Quartier Polytech 1 Allée de la Découverte 13a Liège 4000 Belgium International Center for Numerical Methods in Engineering (CIMNE) Universidad Politécnica de Cataluña Campus Norte UPC Barcelona 08034 Spain

Friction stir welding process is a relatively recent welding process (patented in 1991). FSW is a solid-state joining process during which materials to be joined are not melted. During the FSW process, the behaviour of the material is at the interface between solid mechanics and fluid mechanics. In this paper, a 3D numerical model of the FSW process with a non-cylindrical tool based on a solid formulation is compared to another one based on a fluid formulation. Both models use advanced numerical techniques such as the Arbitrary Lagrangian Eulerian formulation, remeshing or the Orthogonal Sub-Grid Scale method. It is shown that these two formulations essentially deliver the same results. © 2015, Bussetta et al.

关键词： Arbitrary Lagrangian Eulerian (ALE) formalism Finite element method Friction stir welding (FSW) Remeshing

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