{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:12:53Z","timestamp":1743138773161,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030504328"},{"type":"electronic","value":"9783030504335"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-50433-5_30","type":"book-chapter","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T19:03:44Z","timestamp":1592593424000},"page":"389-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5366-743X","authenticated-orcid":false,"given":"\u0141ukasz","family":"Rauch","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-2584","authenticated-orcid":false,"given":"Krzysztof","family":"Bzowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2915-8317","authenticated-orcid":false,"given":"Danuta","family":"Szeliga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1473-4625","authenticated-orcid":false,"given":"Maciej","family":"Pietrzyk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,15]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"71","DOI":"10.2374\/SRI08SP110","volume":"80","author":"A Karelova","year":"2009","unstructured":"Karelova, A., Krempaszky, C., Werner, E., Tsipouridis, P., Hebesberger, T., Pichler, A.: Hole expansion of dual-phase and complex-phase AHS steels \u2013 effect of edge conditions. Steel Res. Int. 80, 71\u201377 (2009). https:\/\/doi.org\/10.2374\/SRI08SP110","journal-title":"Steel Res. Int."},{"key":"30_CR2","doi-asserted-by":"publisher","first-page":"761","DOI":"10.3390\/ma11050761","volume":"11","author":"S Heibel","year":"2018","unstructured":"Heibel, S., Dettinger, T., Nester, W., Clausmeyer, T., Tekkaya, A.E.: Damage mechanisms and mechanical properties of high-strength multiphase steels. Materials 11, 761 (2018). https:\/\/doi.org\/10.3390\/ma11050761","journal-title":"Materials"},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.promfg.2018.12.046","volume":"27","author":"D Szeliga","year":"2019","unstructured":"Szeliga, D., Chang, Y., Bleck, W., Pietrzyk, M.: Evaluation of using distribution functions for mean field modelling of multiphase steels. Procedia Manuf. 27, 72\u201377 (2019). https:\/\/doi.org\/10.1016\/j.promfg.2018.12.046","journal-title":"Procedia Manuf."},{"key":"30_CR4","volume-title":"Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations","author":"M Pietrzyk","year":"2015","unstructured":"Pietrzyk, M., Madej, \u0141., Rauch, \u0141., Szeliga, D.: Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations. Elsevier, Amsterdam (2015)"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1007\/s00419-010-0462-3","volume":"81","author":"J Schroeder","year":"2011","unstructured":"Schroeder, J., Balzani, D., Brands, S.: Approximation of random microstructures by periodic statistically similar representative volume elements based on lineal-path functions. Arch. Appl. Mech. 81, 975\u2013997 (2011). https:\/\/doi.org\/10.1007\/s00419-010-0462-3","journal-title":"Arch. Appl. Mech."},{"key":"30_CR6","first-page":"531","volume":"11","author":"\u0141 Rauch","year":"2011","unstructured":"Rauch, \u0141., Pernach, M., Bzowski, K., Pietrzyk, M.: On application of shape coefficients to creation of the statistically similar representative element of DP steels. Comput. Methods Mater. Sci. 11, 531\u2013541 (2011)","journal-title":"Comput. Methods Mater. Sci."},{"key":"30_CR7","volume-title":"Statistical Analysis of Microstructure in Materials Science","author":"J Ohser","year":"2000","unstructured":"Ohser, J., Muecklich, F.: Statistical Analysis of Microstructure in Materials Science. Wiley, New York (2000)"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/1-4020-5370-3_6","volume":"6","author":"O Allix","year":"2006","unstructured":"Allix, O.: Multiscale strategy for solving industrial problems. Comput. Methods Appl. Sci. 6, 107\u2013126 (2006). https:\/\/doi.org\/10.1007\/1-4020-5370-3_6","journal-title":"Comput. Methods Appl. Sci."},{"key":"30_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1615\/IntJMultCompEng.v8.i3.90","volume":"8","author":"\u0141 Rauch","year":"2010","unstructured":"Rauch, \u0141., Madej, \u0141.: Application of the automatic image processing in modelling of the deformation mechanisms based on the digital representation of microstructure. Int. J. Multiscale Comput. Eng. 8, 1\u201314 (2010). https:\/\/doi.org\/10.1615\/IntJMultCompEng.v8.i3.90","journal-title":"Int. J. Multiscale Comput. Eng."},{"key":"30_CR10","first-page":"726","volume":"58","author":"\u0141 Rauch","year":"2013","unstructured":"Rauch, \u0141., Imio\u0142ek, K.: Reconstruction of 3D material microstructure of one phase steels. Rudy i Metale Nie\u017celazne 58, 726\u2013730 (2013)","journal-title":"Rudy i Metale Nie\u017celazne"},{"key":"30_CR11","unstructured":"Brands, S., Schroeder, J., Balzani, D.: Statistically similar reconstruction of dual-phase steel microstructures for engineering applications. In: Computer Methods in Mechanics, CD-ROM, Warsaw (2011)"},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1103\/physreva.45.922","volume":"36","author":"BL Lu","year":"1992","unstructured":"Lu, B.L., Torquato, S.: Lineal-path function for random heterogeneous materials. J. Appl. Mech. 36, 922\u2013929 (1992). https:\/\/doi.org\/10.1103\/physreva.45.922","journal-title":"J. Appl. Mech."},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"3199","DOI":"10.1016\/0956-7151(94)00487-3","volume":"43","author":"GL Povirk","year":"1995","unstructured":"Povirk, G.L.: Incorporation of microstructural information into models of two-phase materials. Acta Metall. 43, 3199\u20133206 (1995). https:\/\/doi.org\/10.1016\/0956-7151(94)00487-3","journal-title":"Acta Metall."},{"key":"30_CR14","first-page":"347","volume":"9","author":"W Kus","year":"2009","unstructured":"Kus, W., Burczynski, T.: Parallel evolutionary optimization in multiscale problems. Comput. Methods Material Sci. 9, 347\u2013351 (2009)","journal-title":"Comput. Methods Material Sci."},{"key":"30_CR15","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.crhy.2018.11.004","volume":"19","author":"JH Schmitt","year":"2018","unstructured":"Schmitt, J.H., Iung, T.: New developments of advanced high-strength steels for automotive applications. C R Phys. 19, 641\u2013656 (2018). https:\/\/doi.org\/10.1016\/j.crhy.2018.11.004","journal-title":"C R Phys."},{"key":"30_CR16","doi-asserted-by":"publisher","first-page":"33","DOI":"10.7494\/mafe.2007.33.1.33","volume":"33","author":"P Matusiewicz","year":"2007","unstructured":"Matusiewicz, P., Czarski, A., Adrian, H.: Estimation of materials microstructure parameters using computer program SigmaScan Pro. Metall. Foundry Eng. 33, 33\u201340 (2007). https:\/\/doi.org\/10.7494\/mafe.2007.33.1.33","journal-title":"Metall. Foundry Eng."},{"key":"30_CR17","doi-asserted-by":"publisher","first-page":"1454","DOI":"10.1007\/s11661-012-1501-1","volume":"44A","author":"X Wang","year":"2013","unstructured":"Wang, X., Zurob, H.S., Xu, G., Ye, Q., Bouazis, O., Embury, D.: Influence of microstructural length scale on the strength and annealing behavior of pearlite, bainite and martensite. Metall. Mater. Trans. A 44A, 1454\u20131461 (2013). https:\/\/doi.org\/10.1007\/s11661-012-1501-1","journal-title":"Metall. Mater. Trans. A"},{"key":"30_CR18","volume-title":"Identification problems in metal forming","author":"D Szeliga","year":"2013","unstructured":"Szeliga, D.: Identification problems in metal forming. AGH University of Science and Technology, Krak\u00f3w, A comprehensive study (2013)"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"207","DOI":"10.5121\/sipij.2012.3215","volume":"3","author":"SV Veenadevi","year":"2012","unstructured":"Veenadevi, S.V., Ananth, A.G.: Fractal image compression using quadtree decomposition and Huffman coding. Signal Image Process. Int. J. 3, 207\u2013212 (2012). https:\/\/doi.org\/10.5121\/sipij.2012.3215","journal-title":"Signal Image Process. Int. J."},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Shepard, D.: A two-dimensional interpolation function for irregularly-spaced data. In: 23rd Association for Computing Machinery, New York, pp. 517\u2013524 (1968)","DOI":"10.1145\/800186.810616"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50433-5_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T23:09:47Z","timestamp":1718752187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-50433-5_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030504328","9783030504335"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50433-5_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"15 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"230","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"98","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"248 workshop papers were selected from 489 submissions to the thematic tracks. The conference was canceled due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}