{"title":"Effective displacements of peridynamic heterogeneous bar loaded by body force with compact support","authors":"V. Buryachenko","doi":"10.1615/intjmultcompeng.2022042318","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022042318","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiscale modeling of hydrogen-affected crack tip damage using a fully coupled chemo-mechanical crystal plasticity framework for austenitic stainless steel","authors":"Theodore Zirkle, T. Zhu, D. McDowell","doi":"10.1615/intjmultcompeng.2022042488","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022042488","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junren Ran, Hamza El-Kebir, Y. Povstenko, Richard Berlin, J. Bentsman, M. Ostoja-Starzewski
{"title":"Telegraph Equation Shock Waves in Biological Tissues","authors":"Junren Ran, Hamza El-Kebir, Y. Povstenko, Richard Berlin, J. Bentsman, M. Ostoja-Starzewski","doi":"10.1615/intjmultcompeng.2022042921","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022042921","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Fantuzzi, Farui Shi, Marco Colatosti, R. Luciano
{"title":"Multiscale homogenization and analysis of anisotropic assemblies as Cosserat continua","authors":"N. Fantuzzi, Farui Shi, Marco Colatosti, R. Luciano","doi":"10.1615/intjmultcompeng.2022043195","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022043195","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yaoyu Guo, De-fu Zhu, Y. Huo, Zhonglun Wang, Xingwang Ji
{"title":"Numerical Investigation of Granite Failure Mechanism Based on Finite Element Voronoi Grain-based Model","authors":"Yaoyu Guo, De-fu Zhu, Y. Huo, Zhonglun Wang, Xingwang Ji","doi":"10.1615/intjmultcompeng.2022043939","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022043939","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dedication letter to Patrizia Trovalusci in Occasion of her 60th Anniversary","authors":"G. Maier, N. Fantuzzi","doi":"10.1615/intjmultcompeng.2022045249","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2022045249","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67460863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lisa D Levine, Katheryne L Downes, Rebecca F Hamm, Sindhu K Srinivas
{"title":"Evaluating the impact of a standardized induction protocol to reduce adverse perinatal outcomes: a prospective cohort study.","authors":"Lisa D Levine, Katheryne L Downes, Rebecca F Hamm, Sindhu K Srinivas","doi":"10.1080/14767058.2019.1680629","DOIUrl":"10.1080/14767058.2019.1680629","url":null,"abstract":"<p><strong>Objective: </strong>Our objective was to evaluate the impact of a standardized induction protocol on reducing maternal and neonatal morbidity in women undergoing an induction with an unfavorable cervix.</p><p><strong>Study design: </strong>We performed a prospective cohort study of women undergoing an induction from May 2013 to June 2015. Women who were ≥18 years, ≥37 weeks with intact membranes and an unfavorable cervix (Bishop score of ≤6 and cervical dilation ≤2 cm) with no prior cesarean were included. We compared the following outcomes between women managed with the labor protocol versus women in an observation group, managed at the discretion of the provider: Labor length, cesarean delivery, maternal and neonatal morbidity, and neonatal intensive care unit admission for >48 hours. Multivariable models incorporated confounders specific to each outcome.</p><p><strong>Results: </strong>855 women were included (491: labor protocol group; 364: observational group). Women in the labor protocol group had a shorter time to delivery (15.7 hours vs. 18.0 hours, <i>p</i> < .001), a decrease in maternal morbidity (7.3% vs. 11.5%, <i>p</i> = .04), lower rates of NICU admission >48 hours (3.5% vs 8%, <i>p</i> = .005), and a lower neonatal morbidity (3.0% vs. 7.7%, <i>p</i> = .003) compared to women in the observational group. There was no difference in rate of cesarean between the labor protocol and observational groups (27.7% vs. 32.7%, <i>p</i> = .13). When adjusting for confounders, women in the labor protocol group had a 60% reduction in NICU admission >48 hours (RR: 0.41, 95% CI: 0.22-0.76) and a 70% reduction in neonatal morbidity (RR: 0.31, 95% CI: 0.13-0.70). Time to delivery and maternal morbidity were not significantly different in adjusted models.</p><p><strong>Conclusion: </strong>Utilization of a standardized induction protocol was associated with a significant reduction in neonatal morbidity without increasing the risk of cesarean or maternal morbidity.</p>","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"10 1","pages":"3200-3207"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180115/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89561519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ADVANCES IN COMPUTATIONAL AND DATA-DRIVEN POROMECHANICS FOR SUBSURFACE APPLICATIONS","authors":"Saumik Dana","doi":"10.1615/intjmultcompeng.2021041126","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.2021041126","url":null,"abstract":"","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67459185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PREFACE: REVOLUTIONIZING ENGINEERING PRACTICE BYMULTISCALE METHODS","authors":"J. Fish","doi":"10.1615/intjmultcompeng.v19.i4.10","DOIUrl":"https://doi.org/10.1615/intjmultcompeng.v19.i4.10","url":null,"abstract":"Accelerated adoption of multiscale technologies, or any technology for that matter, depends not only on the successes of individual organizations that promote them but rather on their broader acceptance as a technology of choice. Precisely for this reason, on January 4, 2021, a number of leading commercial software vendors were invited to showcase the progress they made in developing transformational multiscale technologies and to report the impact their multiscale technologies have made on Integrated Computational Materials Engineering (ICME). Several software vendors including Dassault Systemes SIMULIA, HEXAGON MSC, Altair, Siemens, and NASA Glenn accepted this challenge. The special issue entitled “Revolutionizing Engineering Practice by Multiscale Methods,” organized by the International Journal for Multiscale Computational Engineering, provides the platform for these contributions. Since the special issue contributors were not requested to follow any specific manuscript outline or its length, various manuscripts have different flavor, scope, and focus. In the following, I provide a self-imposed six-line summary of various contributions in coordination with individual article writers. Dassault Systemes SIMULIA’s article (Bi et al., 2021) focuses on both the breadth and depth of their multiscale capabilities. SIMULIAmultiscale capabilities comprise a broad range of scales ranging from the quantum scale all the way to the product scale and for multiple, often coupled, physical processes that include solids, fluids, electromagnetics, thermal, and controls. These capabilities are housed in three Dassault Systemes products, CATIA for product design, SIMULIA for simulation for design, and BIOVIA for computational chemistry and materials science, all of which are integrated in a single business environment, the 3DEXPERIENCE Platform. The article of MSC Software (part of Hexagon Manufacturing Intelligence) (Doghri et al., 2021), and its center of excellence focusing on materials (formerly e-Xstream engineering), overviews the Digimat software platform including its theoretical background and applications in materials engineering, virtual testing, process engineering, and structural engineering, for various materials and manufacturing processes including additive manufacturing. The primary objective is to present the key concepts behind multiscale-grounded ICME and illustrate that it achieved a level of maturity which enabled it to make the transition from academic research to predictive engineering design. Altair’s article (Wollschlager et al., 2021) focuses on the technical overview of Multiscale Designer, which houses its multiscale capabilities. Multiscale Designer is employed for the development of multiscale material models for various heterogeneous anisotropic material including, but not limited to, continuous and chopped fibrous composites, honeycomb cores, lattice structures, reinforced concrete, soil, etc. Multiscale Designer offers user mat","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67464119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}