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On the added value of multi-scale modeling of concrete
Tongji University, China.
Linnaeus University, Faculty of Technology, Department of Building Technology.ORCID iD: 0000-0002-5699-4492
Shanghai Jiao Tong University, China.
TU Wien, Austria.
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2022 (English)In: Frontiers of Structural and Civil Engineering, ISSN 2095-2430, E-ISSN 2095-2449, Vol. 16, no 1, p. 1-23Article in journal (Refereed) Published
Abstract [en]

This review of the added value of multi-scale modeling of concrete is based on three representative examples. The first one is concerned with the analysis of experimental data, taken from four high-dynamic tests. The structural nature of the high-dynamic strength increase can be explained by using a multi-scale model. It accounts for the microstructure of the specimens. The second example refers to multi-scale thermoelastic analysis of concrete pavements, subjected to solar heating. A sensitivity analysis with respect to the internal relative humidity (RH) of concrete has underlined the great importance of the RH for an assessment of the risk of microcracking of concrete. The third example deals with multi-scale structural analysis of a real-scale test of a segmental tunnel ring. It has turned out that multi-scale modeling of concrete enables more reliable predictions of crack opening displacements in tunnel segments than macroscopic models taken from codes of practice. Overall, it is concluded that multi-scale models have indeed a significant added value. However, its degree varies with these examples. In any case, it can be assessed by means of a comparison of the results from three sources, namely, multi-scale structural analysis, conventional structural analysis, and experiments.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 16, no 1, p. 1-23
Keywords [en]
experiments, multi-scale analysis, conventional structural analysis, concrete, reinforced concrete
National Category
Infrastructure Engineering
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-110372DOI: 10.1007/s11709-021-0790-0ISI: 000750392400003Scopus ID: 2-s2.0-85123924791Local ID: 2022OAI: oai:DiVA.org:lnu-110372DiVA, id: diva2:1637967
Available from: 2022-02-15 Created: 2022-02-15 Last updated: 2022-04-12Bibliographically approved

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Binder, Eva

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