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Elucidating the auxetic behavior of cementitious cellular composites using finite element analysis and interpretable machine learning
Get PDFWith the advent of 3D printing, auxetic cellular cementitious composites (ACCCs) have recently garnered significant attention owing to their unique mechanical performance. To enable seamless performance prediction of the ACCCs, interpretable machine learning (ML)-based approaches can provide efficient means. However, the prediction of Poisson’s ratio using such ML approaches requires large and consistent datasets which is not readily available for ACCCs. To address this challenge, this paper synergistically integrates a finite element analysis (FEA)-based framework with ML to predict the Poisson’s ratios. In particular, the FEA-based approach is used to generate a dataset containing 850 combinations of different mesoscale architectural void features. The dataset is leveraged to develop an ML-based prediction tool using a feed-forward multilayer perceptron-based neural network (NN) approach which shows excellent prediction efficacy. To shed light on the relative influence of the design parameters on the auxetic behavior of the ACCCs, Shapley additive explanations (SHAP) is employed, which establishes the volume fraction of voids as the most influential parameter in inducing auxetic behavior. Overall, this paper develops an efficient approach to evaluate geometry-dependent auxetic behaviors for cementitious materials which can be used as a starting point toward the design and development of auxetic behavior in cementitious composites
Blue-Sky Albedo Reduction and Associated Influencing Factors of Stable Land Cover Types in the Middle-High Latitudes of the Northern Hemisphere during 1982–2015
Get PDFLand surface albedo (LSA) directly affects the radiation balance and the surface heat budget. LSA is a key variable for local and global climate research. The complexity of LSA variations and the driving factors highlight the importance of continuous spatial and temporal monitoring. Snow, vegetation and soil are the main underlying surface factors affecting LSA dynamics. In this study, we combined Global Land Surface Satellite (GLASS) products and ERA5 reanalysis products to analyze the spatiotemporal variation and drivers of annual mean blue-sky albedo for stable land cover types in the middle-high latitudes of the Northern Hemisphere (30~90°N) from 1982 to 2015. Snow cover (SC) exhibited a decreasing trend in 99.59% of all pixels (23.73% significant), with a rate of −0.0813. Soil moisture (SM) exhibited a decreasing trend in 85.66% of all pixels (22.27% significant), with a rate of −0.0002. The leaf area index (LAI) exhibited a greening trend in 74.38% of all pixels (25.23% significant), with a rate of 0.0014. Blue-sky albedo exhibited a decreasing trend in 98.97% of all pixels (65.12% significant), with a rate of −0.0008 (OLS slope). Approximately 98.16% of all pixels (57.01% significant) exhibited a positive correlation between blue-sky albedo and SC. Approximately 47.78% and 67.38% of all pixels (17.13% and 25.3% significant, respectively) exhibited a negative correlation between blue-sky albedo and SM and LAI, respectively. Approximately 10.31%, 20.81% and 68.88% of the pixel blue-sky albedo reduction was mainly controlled by SC, SM and LAI, respectively. The decrease in blue-sky albedo north of 40°N was mainly caused by the decrease in SC. The decrease in blue-sky albedo south of 40°N was mainly caused by SM reduction and vegetation greening. The decrease in blue-sky albedo in the western Tibetan Plateau was caused by vegetation greening, SM increase and SC reduction. The results have important scientific significance for the study of surface processes and global climate change
Cotton Inc.
Get PDFCotton Incorporated is the only nonprofit organization whose mission is to improve the demand for and profitability of cotton through research and promotion. Cotton Inc. is a science-based organization that shares research and knowledge worldwide. Out of the 77 countries that grow cotton, just five countries produce 75% of the world\u27s cotton: India, China, the United States, Pakistan, and Brazil. The United States is the third largest producer of cotton and the number one exporter of cotton. The pandemic put pressure on the supply chain beginning in March of 2020. Everyone in the supply chain was caught off guard by the pandemic, and companies needed to change the way they negotiated as well as the way they treated their suppliers
Lee Isaac Chung, Minari (2020): Having an Amerikorean Life
Get PDFMinari by Lee Isaac Chung is a drama which chronicles the life of a Korean family who moves to the USA during 1980s in pursuit for a better life. The acculturation process is experienced differently by family members. Children are mostly bored with their new life in the rural area of Arkansas while their mother, Monica, is terrified of living in a mobile home which is made of a truck trailer in the middle of nowhere. Meanwhile, the grandmother joins the family from Korea to take care of the kids with a more positive approach dealing with their struggles. The father, Jacob, takes his family and marriage on a dangerous adventure as he tries to spawn a farm on the virgin land that has never been touched before
Mood Fabrics
Get PDFEveryone who’s watched an episode of Project Runway knows about Mood Fabrics. The company is known for having a huge inventory of beautiful and unique textiles. Michelle Jonason, the current buyer at Mood Fabrics, started her career in the garment industry after graduating from the University of Rhode Island with a degree in TMD. She spent 27 years working in New York City, first as a colorist at a fabric company, and then at a series of fashion designers including Nanette Lepore, Alice + Olivia, and finally at Amanda Uprichard, She had just begun working at Amanda Uprichard when the pandemic hit. Since most of the production was overseas, work stopped and she was laid off. Michelle spent a year in Maine before returning to New York City to become the head buyer for Mood Fabrics
COVID: A Case Study: Re-inventing a Textile Conservation Career
Get PDFClaudia Iannuccilli, a BS and MS graduate of the TMD Department, is a textile and costume conservator. She was employed as a conservator at the Museum of Fine Arts, Boston for almost three decades. When the pandemic arrived, the Museum closed and staff were furloughed. After the Museum offered a generous retirement package, Claudia accepted it and started her own business, Studio of Textile Arts. She offers textile conservation services as well as exhibition preparation