Finite Element Modelling to Predict the Fire Performance of Bio-Inspired 3D-Printed Concrete Wall Panels Exposed to Realistic Fire

作者
Thadshajini Suntharalingam,Irindu Upasiri,Brabha Nagaratnam,Keerthan Poologanathan,Perampalam Gatheeshgar,Konstantinos Daniel Tsavdaridis,Dilini Nuwanthika
出处
期刊:Buildings [Multidisciplinary Digital Publishing Institute]
卷期号:12 (2): 111-111 被引量:19
标识
DOI:10.3390/buildings12020111
摘要

Large-scale additive manufacturing (AM), also known as 3D concrete printing, is becoming well-recognized and, therefore, has gained intensive research attention. However, this technology requires appropriate specifications and standard guidelines. Furthermore, the performance of printable concrete in elevated temperature circumstances has not yet been explored extensively. Hence, the authors believe that there is a demand for a set of standardized findings obtained with the support of experiments and numerical modelling of the fire performance of 3D-printed concrete structural elements. In general, fire experiments and simulations focus on ISO 834 standard fire. However, this may not simulate the real fire behaviour of 3D-printed concrete walls. With the aim of bridging this knowledge disparity, this article presents an analysis of the fire performance of 3D-printed concrete walls with biomimetic hollow cross sections exposed to realistic individual fire circumstances. The fire performance of the non-load-bearing 3D-printed concrete wall was identified by developing a suitable numerical heat transfer model. The legitimacy of the developed numerical model was proved by comparing the time–temperature changes with existing results derived from fire experiments on 3D-printed concrete walls. A parametric study of 96 numerical models was consequently performed and included different 3D-printed concrete wall configurations under four fire curves (standard, prolonged, rapid, and hydrocarbon fire). Moreover, 3D-printed concrete walls and mineral wool cavity infilled wall panels showed enhanced fire performance. Moreover, the cellular structures demonstrated superior insulation fire ratings compared to the other configurations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
苦柒完成签到,获得积分10
1秒前
1秒前
殷勤的紫槐应助学术垃圾采纳,获得200
1秒前
2秒前
冷艳的半凡完成签到,获得积分10
2秒前
小懒猪完成签到,获得积分10
3秒前
loulan完成签到,获得积分10
3秒前
ASH应助精明梦柏采纳,获得10
4秒前
昌莆完成签到 ,获得积分10
4秒前
wg发布了新的文献求助10
4秒前
干爆瓶颈发布了新的文献求助10
5秒前
夏小川完成签到,获得积分10
6秒前
大力无声完成签到,获得积分10
7秒前
fafa完成签到,获得积分10
7秒前
molihuakai应助AixLeft采纳,获得10
8秒前
社恐不参团关注了科研通微信公众号
9秒前
Wei完成签到 ,获得积分10
9秒前
科研通AI2S应助ygl0217采纳,获得10
9秒前
pi完成签到 ,获得积分10
9秒前
我只想放假完成签到,获得积分10
10秒前
11秒前
Augreen完成签到,获得积分10
14秒前
胖子完成签到,获得积分10
14秒前
rita完成签到,获得积分10
14秒前
15秒前
1207完成签到,获得积分10
15秒前
lixuxue应助hjejix采纳,获得10
15秒前
田様应助科研通管家采纳,获得10
16秒前
Jasper应助科研通管家采纳,获得10
16秒前
ss完成签到 ,获得积分10
16秒前
CipherSage应助科研通管家采纳,获得10
17秒前
聪聪great发布了新的文献求助10
17秒前
彭于晏应助科研通管家采纳,获得10
17秒前
充电宝应助科研通管家采纳,获得10
17秒前
Orange应助科研通管家采纳,获得10
17秒前
Jasper应助科研通管家采纳,获得10
17秒前
SciGPT应助科研通管家采纳,获得10
17秒前
17秒前
英俊的铭应助科研通管家采纳,获得10
18秒前
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Health and Wellbeing for Babies and Children 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7545016
求助须知:如何正确求助?哪些是违规求助? 9128659
关于积分的说明 19502410
捐赠科研通 7139703
什么是DOI,文献DOI怎么找? 3258827
关于科研通互助平台的介绍 2426162
邀请新用户注册赠送积分活动 2247179