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弹塑性静力分析法在超高层钢—混凝土混合结构抗震分析中的应用

open access: yesJianzhu Gangjiegou Jinzhan, 2002
本文首先介绍了现行国家规范、规程及法规对超高层建筑必须进行弹塑性时程分析的规定,并介绍了目前弹性时程分析及弹塑性时程分析在超高层钢结构建筑抗震设计中应用的现状和不足之处。随后介绍了一种在国外工程界应用较多的弹塑性静力分析方法(Push-over Analysis),详细阐述了该方法的基本原理、计算模型、杆件单元刚度取值、计算程序、计算结果及分析。进而结合实际工程(某超高层钢-混凝土混合结构建筑),采用平面非线性地震反应分析程序(DRAIN-2DX)进行实例分析、
李达明
doaj  

Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren   +3 more
wiley   +1 more source

The Emotional Valence Paradox in Social media: A Computational Linguistic Analysis of How Sentiment, Emotion, and Content Domain Predict Social Comparisons on Rednote

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT This computational linguistic study analyzes 8743 Rednote posts to examine how sentiment, emotion, and content domain collectively shape social comparison dynamics on social media. We identify four key findings: (1) an emotional gradient, where upward comparison content exhibits the highest sentiment scores and downward comparison the lowest; (
Michelle Mingyue Gu   +7 more
wiley   +1 more source

Perceptions and Acceptance of Generative Artificial Intelligence Influencing Chinese EFL Learners’ Engagement in Informal Digital Learning of English: Mediating Roles of Self‐Efficacy and Motivation

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT Generative artificial intelligence (GenAI) has emerged as a powerful tool in the Informal Digital Learning of English (IDLE) environment, offering personalized, interactive, and innovative language learning experiences that may enhance learning engagement.
Jin Liu, Meilu Liu, Yuan Yao, Dechao Li
wiley   +1 more source

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