{"title":"细菌混凝土中二氧化碳诱导自愈的多物理场有限元框架","authors":"Ajitanshu Vedrtnam , Kishor Kalauni , MT Palou","doi":"10.1016/j.compstruc.2025.107908","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a multiphysics finite element model to simulate CO<sub>2</sub>-induced self-healing in bacterial concrete, offering a sustainable approach to crack repair and carbon sequestration. Unlike previous models, the proposed framework integrates coupled processes, including CO<sub>2</sub> diffusion, bacterial metabolism, moisture transport, and calcium carbonate precipitation, within a unified reaction–diffusion system. Implemented in FEniCS, the model uses refined meshing to resolve gradients near cracks and applies validated boundary conditions based on experimental studies. Simulations show that under optimal conditions (RH ≥ 80 %, CO<sub>2</sub> ≥ 20 %), over 90 % crack closure is achieved within six weeks for microcracks (≤0.5 mm), while larger cracks exhibit slower healing due to diffusion limitations. The model also demonstrates strong agreement with experimental data for carbonation depth and CaCO<sub>3</sub> formation, achieving a coefficient of determination (R<sup>2</sup>) of 0.996. These results confirm the potential of bacterial concrete for self-repair and carbon sequestration in humid, CO<sub>2</sub>-rich environments. The model provides a robust tool for optimizing material design and curing conditions, paving the way for the development of low-maintenance, carbon-negative infrastructure.</div></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"316 ","pages":"Article 107908"},"PeriodicalIF":4.8000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multiphysics finite element framework for CO2-induced self-healing in bacterial concrete\",\"authors\":\"Ajitanshu Vedrtnam , Kishor Kalauni , MT Palou\",\"doi\":\"10.1016/j.compstruc.2025.107908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents a multiphysics finite element model to simulate CO<sub>2</sub>-induced self-healing in bacterial concrete, offering a sustainable approach to crack repair and carbon sequestration. Unlike previous models, the proposed framework integrates coupled processes, including CO<sub>2</sub> diffusion, bacterial metabolism, moisture transport, and calcium carbonate precipitation, within a unified reaction–diffusion system. Implemented in FEniCS, the model uses refined meshing to resolve gradients near cracks and applies validated boundary conditions based on experimental studies. Simulations show that under optimal conditions (RH ≥ 80 %, CO<sub>2</sub> ≥ 20 %), over 90 % crack closure is achieved within six weeks for microcracks (≤0.5 mm), while larger cracks exhibit slower healing due to diffusion limitations. The model also demonstrates strong agreement with experimental data for carbonation depth and CaCO<sub>3</sub> formation, achieving a coefficient of determination (R<sup>2</sup>) of 0.996. These results confirm the potential of bacterial concrete for self-repair and carbon sequestration in humid, CO<sub>2</sub>-rich environments. The model provides a robust tool for optimizing material design and curing conditions, paving the way for the development of low-maintenance, carbon-negative infrastructure.</div></div>\",\"PeriodicalId\":50626,\"journal\":{\"name\":\"Computers & Structures\",\"volume\":\"316 \",\"pages\":\"Article 107908\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045794925002664\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045794925002664","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A multiphysics finite element framework for CO2-induced self-healing in bacterial concrete
This study presents a multiphysics finite element model to simulate CO2-induced self-healing in bacterial concrete, offering a sustainable approach to crack repair and carbon sequestration. Unlike previous models, the proposed framework integrates coupled processes, including CO2 diffusion, bacterial metabolism, moisture transport, and calcium carbonate precipitation, within a unified reaction–diffusion system. Implemented in FEniCS, the model uses refined meshing to resolve gradients near cracks and applies validated boundary conditions based on experimental studies. Simulations show that under optimal conditions (RH ≥ 80 %, CO2 ≥ 20 %), over 90 % crack closure is achieved within six weeks for microcracks (≤0.5 mm), while larger cracks exhibit slower healing due to diffusion limitations. The model also demonstrates strong agreement with experimental data for carbonation depth and CaCO3 formation, achieving a coefficient of determination (R2) of 0.996. These results confirm the potential of bacterial concrete for self-repair and carbon sequestration in humid, CO2-rich environments. The model provides a robust tool for optimizing material design and curing conditions, paving the way for the development of low-maintenance, carbon-negative infrastructure.
期刊介绍:
Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.