早期二氧化碳捕集下矿物掺合料混凝土碳化深度预测模型

doi:10.11896/cldb.25090030

Abstract
Figure/Table
References
Related Citation (15)

Download:

Full Text ( PDF ) (3552KB)
Export: BibTeX | EndNote (RIS)

Abstract Mineral admixture concrete carbon capture technology has emerged as a research focus in negative emission technologies due to its substantial carbon sequestration potential and high utilization rate of industrial solid waste. However, early-age carbonation significantly increases the risk of steel reinforcement corrosion. Existing carbonation models, primarily based on 28-day standard-cured specimens, exhibit considerable conservative bias when predicting the carbonation behavior of concrete containing high-volume mineral admixtures and subjected to early-age exposure. To address this limitation, fifteen groups of fly ash (FA) and ground granulated blast furnace slag (GGBS) concrete specimens were prepared and subjected to accelerated carbonation tests after 14 days of standard curing. Building upon the Huang Shiyuan model framework, a Mineral Admixture Carbonation Rate Influence Coefficient (K_m) was introduced for the first time to characterize the early-age effects of admixture type and dosage, and the Particle Swarm Optimization (PSO) algorithm, with global search capability in multi-parameter nonlinear systems, was used to optimize the parameters. The newly introduced K_m coefficient quantitatively captures the differential effects of FA and GGBS, supported by microstructural reasoning. Independent validation confirmed its general applicability even for concrete incorporating FA, GGBS, and a wider range of water-to-binder ratios (W/B) (measured-to-predicted ratio: 0.93±0.15). This model provides a theoretical tool for managing the early-age steel reinforcement corrosion risk in carbon capture concrete.

Key words： carbon capture mineral admixture early-age particle swarm optimization prediction mode

Received: 10 May 2026 Published: Online: 2026-05-18

CLC number:

TU235

Corresponding Authors: ^*Xiaodong Wen, is an Professor and Master’s Supervisor at the School of Civil and Transportation Engineering,Ningbo University of Technology.He obtained his Ph.D.in Building Materials and Engineering from Wuhan University of Technology in 2007 and has been working at Ningbo University of Technology since graduation.His current research focuses on new building materials and structural applications of UHPC materials. wenxiaodong@nbut.edu.cn

About author: Ming Zhou,Associate Professor,School of Architecture and Transportation Engineering,Ningbo University of Technology.He received his B.Eng.and M.Eng.degrees from Inner Mongolia University of Science and Technology in 2005 and July 2008,respectively,and his Ph.D.in Engineering from Xi’an University of Architecture and Technology in 2012.He then joined Ningbo University of Technology,where he has been working since.His primary research focuses on new building materials and the structural application of UHPC (Ultra-High Performance Concrete).He has published more than 20 research papers

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHOU Ming
	WANG Feifan
	WEN Xiaodong
	GUAN Xiaojun
	WENG Gongwei

Cite this article:

ZHOU Ming,WANG Feifan,WEN Xiaodong, et al. Prediction Model for Carbonation Depth of Mineral Admixture Concrete UnderEarly-age CO₂ Capture[J]. Materials Reports, 2026, 40(9): 25090030-8.

URL:

https://www.mater-rep.com/EN/10.11896/cldb.25090030 OR https://www.mater-rep.com/EN/Y2026/V40/I9/25090030

1 Coffetti D, Crotti E, Gazzaniga G, et al.Cement and Concrete Research, 2022, 154, 106718.
2 Xiao Lin, Yingshuang Zhang, Hongwen Liu, et al.Journal of Cleaner Production, 2024, 434, 140258.
3 DiGiovanni C, Hisseine O A, Awolayo A N.Journal of CO₂ Utilization, 2024, 81, 102736.
4 Hu X P, Niu D T, Zhang Y L.Journal of Xi’an University of Architecture & Technology (Natural Science Edition), 2012, 44(6), 805(in Chinese).
胡晓鹏, 牛荻涛, 张永利.西安建筑科技大学学报(自然科学版), 2012, 44(6), 805.
5 Qin L, Gao X J, Chen T F.Construction and Building Materials, 2019, 33(4), 653.
6 Jixiang Wang, Xiang Li, Rui Sun, Yuxi Zhao, et al.Construction and Building Materials, 2024, 430, 136391.
7 Hyeju Kim, Raju Sharma, Junjie Pei, Jeong Gook Jang.Journal of Building Engineering, 2022, 56, 104771.
8 Wang X, Yang Q, Peng X, et al.Coatings, 2024, 14(4), 14040386.
9 Amir Karimi, Mohammad Ghanooni-Bagha, Ehsan Ramezani, et al.Magazine of Concrete Research, 2023, 75(23), 1212.
10 Chen J, Wen X D, He Y L, et al.Highway, 2019(12), 230 (in Chinese).
陈健, 温小栋, 何余良, 等.公路, 2019(12), 230.
11 Gu K, Jin F, Al-Tabbaa A, et al.Construction and Building Materials, 2014, 69(11), 101.
12 Suryavanshi A K, Scantlebury J D, Lyon S B.Cement and Concrete Research, 1995, 25(3), 581.
13 Zhang C Z, Sun G S, Hu X P, et al.Bulletin of the Chinese Ceramic Society, 2017, 36(1), 282(in Chinese).
张成中, 孙广帅, 胡晓鹏, 等.硅酸盐通报, 2017, 36(1), 282.
14 Xu Z, Zhang E Z, Chen Q W.Journal of Systems Engineering and Electronics, 2020, 31(1), 130.
15 Jia Y D.Research on carbonation characteristics of high volume mineral admixtures concrete.pH.D.Thesis, Tsinghua University, China, 2010(in Chinese).
贾耀东.大掺量矿物掺合料混凝土的碳化特性研究.博士学位论文, 清华大学, 2010.
16 Anders Lindvall.In: 2^nd Int.PhD.Symposium in Civil Engineering.Budapest, 1998.