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Strength characterisation of fly ash blended 3D printed concrete enhanced with explainable machine learning 粉煤灰混合3D打印混凝土的强度特征与可解释的机器学习增强
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-11 DOI: 10.1016/j.cscm.2025.e05682
Imtiaz Iqbal , Waleed Bin Inqiad , Tala Kasim , Svetlana Besklubova , Melak Mohammad Adil , Mujib Rahman
This study investigates the performance of 3D printed concrete incorporating fly ash as a partial cement replacement and develops a machine learning model to predict its mechanical properties. A total of 28 mixtures were prepared with varying fly ash contents (5–15 %), water-to-binder ratios, and superplasticiser dosages. Of these, seven mixes met the requirements for printability in terms of flowability, extrudability, and buildability. Experimental tests were conducted to evaluate compressive strength, flexural strength, water absorption, and sorptivity. Results showed that mixes with 5 % and 7.5 % fly ash achieved improved strength and durability, whereas higher fly ash levels reduced early-age performance due to clinker dilution and slower pozzolanic activity. Microstructural analyses confirmed the presence of C–S–H, portlandite, and ettringite, with fly ash contributing to pore refinement and matrix densification. To enhance predictive capability, a TPE-optimised Extreme Gradient Boosting (TPE-XGB) model was developed using data obtained from laboratory testing. The model achieved excellent accuracy (R² > 0.997) in predicting compressive and flexural strength. A graphical user interface integrating SHAP visualisation was created to provide transparent predictions, supporting practical implementation. The findings highlight the potential of fly ash to improve the sustainability of 3D printed concrete at optimised dosages and demonstrate the value of interpretable machine learning tools in mix design optimisation.
本研究调查了3D打印混凝土的性能,其中掺入粉煤灰作为部分水泥替代品,并开发了一个机器学习模型来预测其力学性能。共制备了28种不同粉煤灰含量(5-15 %)、水胶比和高效增塑剂用量的混合物。其中,7种混合物在流动性、可挤压性和可构建性方面满足印刷性要求。进行了抗压强度、抗折强度、吸水率和吸附性的实验测试。结果表明,掺5% %和7.5% %粉煤灰的混合料的强度和耐久性都有所提高,而掺量较高的粉煤灰由于熟料稀释和火山灰活性降低而降低了早期性能。显微结构分析证实了C-S-H、波特兰铁矿和钙矾石的存在,粉煤灰有助于孔隙细化和基质致密化。为了提高预测能力,利用实验室测试数据开发了tpe优化的极限梯度增强(TPE-XGB)模型。该模型在预测抗压和抗弯强度方面具有很好的精度(R²> 0.997)。创建了一个集成了SHAP可视化的图形用户界面,以提供透明的预测,支持实际实现。研究结果强调了粉煤灰在优化剂量下提高3D打印混凝土可持续性的潜力,并展示了可解释的机器学习工具在配合比设计优化中的价值。
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引用次数: 0
Erosion resistance of basalt fiber-aeolian sand concrete under wind-sand erosion: Experimental analysis and mechanisms 玄武岩纤维-风积砂混凝土风沙侵蚀抗侵蚀性能试验分析及机理研究
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-23 DOI: 10.1016/j.cscm.2025.e05728
Yu Ye , Tianyu Xie , Tong Guo , Biqin Dong , Jianye Zhao , Jiajia Feng
The study explores the deterioration mechanism of basalt fiber-aeolian sand concrete (BF-ASC) under wind-sand erosion (WSE) and compares its performance with ordinary concrete. Experimental analysis was conducted to examine the effects of factors such as attack angle, average wind velocity, sand carrying capacity, sand erosion time, and sand particle size on the erosion of BF-ASC. Three-dimensional blue-light scanning was used to observe surface morphological changes, revealing the distribution of damage during erosion. Scanning electron microscopy (SEM) was employed to examine the effects of microstructural changes on corrosion resistance. The results show that BF-ASC exhibits stronger erosion resistance than ordinary concrete under different attack angles, particularly at a 45° angle, where the mass loss and degree of erosion were significantly lower for BF-ASC than for ordinary concrete. However, under other WSE parameters, the erosion resistance of both concretes was similar, with BF-ASC showing slightly better resistance. The study also reveals multiple mechanisms of WSE. The impact of sand particles causes localized stress concentration, leading to the detachment of surface material and the expansion of microcracks. Shallow angle impacts primarily induce shear, leading to surface deterioration and crack propagation, while larger angle impacts create deep pits, further increasing local material removal. Increased wind velocity and sand particle size significantly exacerbate the erosion process. Erosion rate is strongly influenced by erosion time, with rapid erosion occurring in the early stages (0–8 min), followed by stabilization in the later stages (8–16 min). The findings provide valuable insights into optimizing the durability of concrete structures in wind-sand environments, suggest strategies to enhance concrete erosion resistance, and offer a theoretical basis for the design and maintenance of concrete structures in extreme conditions.
研究了玄武岩纤维-风成砂混凝土在风沙侵蚀作用下的劣化机理,并与普通混凝土进行了性能比较。实验分析了攻角、平均风速、携沙量、冲沙时间、沙粒粒径等因素对BF-ASC侵蚀的影响。利用三维蓝光扫描观察表面形态变化,揭示侵蚀过程中损伤的分布。采用扫描电镜(SEM)研究了显微组织变化对耐蚀性的影响。结果表明:在不同攻角下,BF-ASC均表现出比普通混凝土更强的抗冲蚀性能,特别是在45°攻角时,其质量损失和冲蚀程度均明显低于普通混凝土;但在其他WSE参数下,两种混凝土的抗冲蚀性能相似,BF-ASC的抗冲蚀性能略好。研究还揭示了WSE的多种机制。砂粒的冲击引起局部应力集中,导致表面材料的剥离和微裂纹的扩展。浅角度冲击主要引起剪切,导致表面劣化和裂纹扩展,而大角度冲击产生深坑,进一步增加局部材料去除。风速和沙粒大小的增加显著加剧了侵蚀过程。侵蚀速率受侵蚀时间的影响较大,前期快速侵蚀(0 ~ 8 min),后期稳定(8 ~ 16 min)。研究结果为优化风沙环境下混凝土结构的耐久性提供了有价值的见解,提出了增强混凝土抗侵蚀能力的策略,并为极端条件下混凝土结构的设计和维护提供了理论依据。
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引用次数: 0
Valorization of agricultural and industrial wastes in geopolymer foam concrete, a ternary binder approach using corncob ash, red mud, and fly ash 用玉米芯灰、赤泥和粉煤灰作三元粘结剂,使农业和工业废料在地聚合物泡沫混凝土中增值
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-17 DOI: 10.1016/j.cscm.2025.e05716
Fatheali A. Shilar , Dhafer Ali Alqahtani , Mubarakali Shilar , T.M. Yunus Khan
This study examines the growing need for sustainable and thermally efficient lightweight concretes, specifically through the advancement of geopolymer foam concrete (GFC). This novel material integrates industrial red mud (RM) and agricultural corncob ash (CCA) as partial replacements in a fly ash–based binder. This study aims to investigate the issues associated with foam instability, increased water absorption, and reduced mechanical strength that are commonly observed in waste-derived GFC materials. Six mix formulations (GC1–GC6) were developed by adjusting the CCA content from 0 to 250 kg/m³, and their rheological, thermal, mechanical, electrical, and microstructural properties were assessed. The measurement of compressive strength was conducted at both 3 and 28 days, whereas all additional tests were executed on samples that had been cured for 28 days.The findings indicated that the incorporation of moderate amounts of CCA (100–150 kg/m³) led to improvements in foam stability, enhanced thermal insulation properties, and preserved sufficient structural integrity, with GC3 demonstrating the highest 28-day compressive strength of 2.86 MPa. Excessive CCA (GC6) resulted in unstable pore structures, diminished gel formation, increased water absorption (62.7 %), and the lowest strength recorded (1.45 MPa). The thermal conductivity exhibited a reduction from 0.91 to 0.52 W/m·K, while the electrical resistivity demonstrated an increase from 6.1 to 35.2 Ω·m across the various mixes, suggesting enhanced insulating characteristics as the content of CCA increased. SEM–EDS analysis validated the presence of well-structured geopolymer gels in low-to-moderate CCA mixtures, while revealing disrupted matrices at elevated CCA concentrations.The findings of the study indicate that optimized RM–CCA–FA ternary binders are capable of generating lightweight, low-carbon GFC that exhibits enhanced thermal and electrical properties, thereby supporting the development of sustainable construction materials in accordance with the Sustainable Development Goals 9, 11, 12, and 13.
本研究考察了对可持续和热效率轻质混凝土日益增长的需求,特别是通过地聚合物泡沫混凝土(GFC)的进步。这种新型材料将工业赤泥(RM)和农业玉米芯灰(CCA)作为粉煤灰基粘合剂的部分替代品。本研究旨在探讨与泡沫不稳定性、吸水率增加和机械强度降低相关的问题,这些问题在垃圾衍生的GFC材料中普遍存在。通过将CCA含量从0调整到250 kg/m³,开发了6种混合配方(GC1-GC6),并对其流变、热、机械、电学和微观结构性能进行了评估。抗压强度测量分别在第3天和第28天进行,而所有额外的测试都是在固化28天的样品上进行的。研究结果表明,加入适量的CCA(100-150 kg/m³)可以改善泡沫稳定性,增强隔热性能,并保持足够的结构完整性,其中GC3的28天抗压强度最高,为2.86 MPa。过量的CCA (GC6)导致孔隙结构不稳定,凝胶形成减少,吸水率增加(62.7 %),强度最低(1.45 MPa)。导热系数从0.91降低到0.52 W/m·K,而电阻率从6.1增加到35.2 Ω·m,表明随着CCA含量的增加,绝缘特性增强。SEM-EDS分析证实了低至中等CCA混合物中结构良好的地聚合物凝胶的存在,同时发现CCA浓度升高时基质被破坏。研究结果表明,优化后的RM-CCA-FA三元粘合剂能够产生轻质、低碳的GFC,具有增强的热学和电学性能,从而支持可持续建筑材料的发展,符合可持续发展目标9、11、12和13。
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引用次数: 0
Thermo-mechanical behavior of mass concrete with promising ultra-fine SCMs: A multi-scale experimental and numerical study 具有良好发展前景的超细细颗粒大体积混凝土热力学行为:多尺度试验与数值研究
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-26 DOI: 10.1016/j.cscm.2025.e05733
Kuisheng Liu , Huikai Yuan , Shiyu Zhuang
Mass concrete structures face critical challenges regarding thermal cracking and durability, yet conventional evaluation methods based on standard curing fail to predict material performance under realistic thermal histories. This study systematically investigates the thermo-mechanical behavior of mass concrete containing four ultra-fine supplementary cementitious materials (SCMs): ultra-fine steel slag (USS), ultra-fine limestone powder (ULS), ultra-fine phosphorus slag (UPS), and ground fly ash (GFA). A multi-scale framework was established, integrating hydration kinetics testing, finite element analysis (FEA) for temperature field simulation, and mechanical/durability testing under temperature-matching curing conditions. Numerical and experimental results indicate that USS effectively reduced the early-age hydration heat peak while maintaining long-term strength comparable to fly ash. Conversely, GFA and ULS exacerbated early heat release due to high reactivity and nucleation effects, respectively. Notably, a high replacement level (45 %) of UPS successfully suppressed the initial heat peak through the dilution effect, while the subsequent temperature rise activated its latent reactivity, significantly enhancing late-age compressive strength and chloride resistance. The study confirms that an integrated approach combining numerical simulation and temperature-matching curing offers a more reliable method than conventional screening for selecting SCMs in mass concrete, effectively balancing the competing demands of low early-age heat and high long-term performance.
大体积混凝土结构在热开裂和耐久性方面面临着严峻的挑战,然而传统的基于标准养护的评估方法无法预测材料在实际热历史下的性能。本研究系统地研究了含有四种超细补充胶凝材料(SCMs)的大体积混凝土的热力学行为:超细钢渣(USS)、超细石灰石粉(ULS)、超细磷渣(UPS)和粉煤灰(GFA)。建立了集水化动力学试验、温度场模拟有限元分析(FEA)和温度匹配固化条件下力学/耐久性试验为一体的多尺度框架。数值和试验结果表明,USS有效降低了早期水化热峰,同时保持了与粉煤灰相当的长期强度。相反,GFA和ULS分别由于高反应活性和成核效应而加剧了早期热释放。值得注意的是,高替换量(45% %)的UPS通过稀释效应成功抑制了初始热峰,而随后的升温激活了其潜在反应活性,显著提高了后期抗压强度和抗氯性。该研究证实,将数值模拟和温度匹配养护相结合的综合方法比传统的筛选方法在大体积混凝土中选择scm更可靠,有效地平衡了低早期热量和高长期性能的竞争需求。
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引用次数: 0
Experimental investigation on the mechanical performance of 3D-printed concrete-glued laminated timber composite beams 3d打印混凝土-层压木材组合梁力学性能试验研究
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2026-01-01 DOI: 10.1016/j.cscm.2025.e05749
Xiaoyue Zhang , Zhengren Chen , Xinting Zhou , Zheng Li , Xuhong Zhou
This study presents a novel, reinforcement-free prefabricated composite beam system integrating 3D-printed concrete (3DPC) slabs and glued laminated timber (GLT) beams. The system employs an ultra-high-performance concrete (UHPC)-filled notch-screw shear connector to address the interfacial bonding challenge between the two materials. Push-out tests on the connector demonstrated that its load-bearing capacity and slip stiffness increased with notch depth and length, while the shear length ahead of the notch had a minor influence. For the critical 3DPC-UHPC interface, three failure modes were identified, with performance governed by matrix interlayer properties and interface morphology. The X-interface with an original 3DPC surface was optimal, and adding polyoxymethylene fiber further enhanced performance. Connectors with a vertical printing path showed superior performance, with approximately 8 % higher load capacity than those with a horizontal path. Bending tests on composite beams clarified the influence of cross-sectional mesh configuration and printing material. Beams with a transverse mesh exhibited 28.8 % greater initial stiffness than those with a top-surface mesh. Crucially, the system achieved satisfactory structural performance without traditional steel reinforcement, validating the feasibility of the proposed reinforcement-free, prefabricated approach. Finally, predictions for bending stiffness and interface shear capacity based on the gamma method showed good agreement with experimental values.
本研究提出了一种新型的无钢筋预制组合梁系统,该系统集成了3d打印混凝土(3DPC)板和胶合层压木材(GLT)梁。该系统采用了超高性能混凝土(UHPC)填充的缺口螺钉剪切连接器,以解决两种材料之间的界面粘合问题。对接头的推出试验表明,其承载能力和滑移刚度随缺口深度和长度的增加而增加,而缺口前的剪切长度影响较小。对于临界3DPC-UHPC界面,确定了三种失效模式,其性能受基体层间特性和界面形态的影响。以原始3DPC表面的x界面为最优,添加聚甲醛纤维进一步增强了性能。具有垂直打印路径的连接器表现出优越的性能,其负载能力比具有水平路径的连接器高约8 %。组合梁的弯曲试验阐明了截面网格结构和打印材料对组合梁弯曲性能的影响。采用横向网格的梁的初始刚度比采用顶面网格的梁高28.8 %。关键是,该系统在没有传统钢筋加固的情况下取得了令人满意的结构性能,验证了所提出的无钢筋预制方法的可行性。最后,基于伽玛法的抗弯刚度和界面抗剪承载力预测值与实验值吻合较好。
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引用次数: 0
Seismic performance enhancement of precast bridge pier using ultrahigh-performance concrete jacket 采用超高性能混凝土护套提高预制桥墩抗震性能
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2026-01-01 DOI: 10.1016/j.cscm.2025.e05750
Jiuhong Fan , Xiuhua Li , Bowen Xiao , Ying Lu , Jin Di , Fengjiang Qin
The application of precast bridge piers is becoming increasingly widespread due to its significant time-saving advantages. To enhance the seismic performance of the bridge piers, ultrahigh-performance concrete (UHPC) jackets was set in the plastic hinge of the precast bridge piers with socket connection. Quasi-static tests were conducted on five specimens to investigate the influence of the height and thickness of the UHPC jacket on the seismic behavior of precast bridge piers. When the UHPC jacket height was too low or the thickness was too great, the plastic hinge region of the pier shifted upward, reducing the ductility and cumulative energy dissipation of the pier, which adversely affected its seismic performance. Based on the numerical analysis results, a bending moment enhancement coefficient was regressed and the dimension design method of UHPC jacket was proposed. This study provides a reference for designing UHPC jackets to enhance the seismic performance of bridge piers.
预制桥墩由于具有显著的省时优势,其应用越来越广泛。为提高桥墩抗震性能,采用承插式连接方式在预制桥墩塑性铰处设置超高性能混凝土护套。通过5个试件的拟静力试验,研究了UHPC护套高度和厚度对预制桥墩抗震性能的影响。当UHPC护套高度过低或厚度过大时,墩台塑性铰区域向上位移,降低了墩台的延性和累积耗能,对其抗震性能产生不利影响。在数值分析结果的基础上,回归了弯矩增强系数,提出了UHPC夹套的尺寸设计方法。该研究为设计提高桥墩抗震性能的超高压混凝土护套提供了参考。
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引用次数: 0
Durable phosphogypsum-based composite binders with ground-granulated blast furnace slag and carbide slag: Performance optimization and environmental assessment 含磨粒高炉渣和电石渣的耐用磷石膏基复合粘合剂:性能优化和环境评价
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-16 DOI: 10.1016/j.cscm.2025.e05709
Xiaodong Wang , Guangcheng Long , Fan Wang , Junfeng Wen , Yuting Zhang , Changhe Huang , Ruxia Zhou
The global industrial challenges of massive phosphogypsum (PG) stockpiles, persistent underutilization, and inferior water resistance of conventional gypsum-based materials necessite innovative recycling strategies. Herein, we engineered a phosphogypsum-based composite binders (PBCB) by coupling ground-granulated blast furnace slag (GGBS) and carbide slag (CS) with anhydrous PG (APG) and β-hemihydrate PG (β-HPG). The compressive strength and water resistance of PBCB under air curing and water curing were investigated at 180d. Its phase composition, hydration process, pore structure, and microstructure were explored, followed by an evaluation of its environmental and economic benefits. Results showed that the combination of APG and β-HPG can significantly shortened the setting time of PBCB. Under the synergistic effect of hydration products, the mixture of 70 % APG/10 % β-HPG and 18 % GGBS/2 % CS shows the best performance. After 180d of air curing and water curing, the compressive strength and softening coefficient are 44.5 MPa, 0.83 and 41.9 MPa, 0.89, respectively. Notably, under water curing, the compressive strength decreases by only 4.17 %–10.32 %, while the softening coefficient increases by 6.74 %–12.64 %. In addition, the carbon emissions per unit strength and cost per unit strength are only 21.0 % and 35.7 % of those of ordinary Portland cement, respectively. This work establishes a viable technical pathway for transforming hazardous PG stockpiles (>80 million tons/year globally) into low-carbon sustainable binders.
大量磷石膏(PG)库存、持续利用不足和传统石膏基材料耐水性差的全球工业挑战需要创新的回收策略。本研究通过将磨粒高炉渣(GGBS)和电石渣(CS)与无水PG (APG)和β-半水PG (β-HPG)偶联,设计了磷石膏基复合粘合剂(PBCB)。研究了空气养护和水养护180d时PBCB的抗压强度和耐水性。探讨了其物相组成、水化过程、孔隙结构和微观结构,并对其环境效益和经济效益进行了评价。结果表明,APG与β-HPG联合使用可显著缩短PBCB凝固时间。在水化产物的协同作用下,70 % APG/10 % β-HPG和18 % GGBS/2 % CS的混合效果最佳。空气养护和水养护180d后,抗压强度和软化系数分别为44.5 MPa、0.83和41.9 MPa、0.89。值得注意的是,在水养护下,抗压强度仅降低4.17 % ~ 10.32 %,而软化系数增加6.74 % ~ 12.64 %。单位强度碳排放量和单位强度成本分别仅为普通硅酸盐水泥的21.0% %和35.7% %。本研究为危险PG库存(全球8000万吨/年)转化为低碳可持续粘合剂建立了可行的技术途径。
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引用次数: 0
A deep learning approach for predicting steel rebar corrosion in concrete bridge columns from two-year noisy GPR B-scan images 基于两年噪声GPR b扫描图像预测混凝土桥柱钢筋腐蚀的深度学习方法
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-10 DOI: 10.1016/j.cscm.2025.e05671
Maryam Abazarsa, Tzuyang Yu
Steel corrosion is the main cause responsible for the premature failures of reinforced and prestressed concrete structures (e.g., bridges) around the world. Corrosion detection of steel rebars and tendons using nondestructive testing/evaluation (NDT/E) techniques such as ground-penetrating radar (GPR) have demonstrated to be an effective approach for early warning, while various technical challenges remain unsolved in the data interpretation. This is mainly due to the environmental variation in the field and various corrosion levels and concrete properties in noisy GPR data, making the prediction of steel rebar corrosion very difficult in the field. The objective of this paper is to present our approach on analyzing long-term noisy GPR data to extract subsurface steel rebar’s condition without monitoring environmental variation. Our deep learning approach utilizes a convolutional neural network (CNN) AlexNet model and a proposed Power2Net model to predict the corrosion level of steel rebars in concrete bridge columns from 3834 GPR B-scan images on 186 days over a two-year period. The novelty of our approach is the ability to correlate surface visual images with subsurface GPR B-scan images for subsurface steel rebar corrosion prediction. Seven concrete bridge columns at different corrosion levels (from intact to corroded) were scanned in each inspection. In our approach, AlexNet is used for extracting multi-scale features from the images, while Power2Net is used to predict corrosion levels of steel rebars inside concrete. Three laboratory reinforced concrete specimens with known corrosion levels were used to verify our model. From our parametric study, it is found that an inverse power-law pattern between the size of a filter and the number of filters as a function of neural network layer is the key to efficiently extract essential information from noisy radar images and robustly predict steel rebar corrosion in the long-term. From our results, it is found that our proposed DL approach (AlexNet-Power2Net) can predict the corrosion level of different concrete columns under the influence of long-term environmental variation without any environmental data, demonstrating the consistency and robustness of our approach. The environmental effect on B-scan images was amplified by the corrosion level and manifested by false alarms in our predicted level curves. Optimal initial learning rate and optimal number of epochs were found to be 0.001 and 73, respectively, in our case study. We also found that fine-tuning of weights (or model pretraining) can improve model convergence.
钢材腐蚀是世界各地钢筋和预应力混凝土结构(如桥梁)过早失效的主要原因。使用无损检测/评估(NDT/E)技术(如探地雷达(GPR))对钢筋和肌腱进行腐蚀检测已被证明是一种有效的早期预警方法,但在数据解释中仍存在各种技术挑战有待解决。这主要是由于现场环境的变化以及噪声GPR数据中不同的腐蚀水平和混凝土性能,使得现场钢筋腐蚀预测非常困难。本文的目的是介绍在不监测环境变化的情况下,分析长期有噪声的探地雷达数据提取地下钢筋状况的方法。我们的深度学习方法利用卷积神经网络(CNN) AlexNet模型和拟议的Power2Net模型,从两年期间186天的3834张GPR b扫描图像中预测混凝土桥柱中钢筋的腐蚀水平。该方法的新颖之处在于能够将表面视觉图像与地下GPR b扫描图像相关联,用于地下钢筋腐蚀预测。在每次检查中扫描了七个不同腐蚀程度(从完整到腐蚀)的混凝土桥柱。在我们的方法中,AlexNet用于从图像中提取多尺度特征,而Power2Net用于预测混凝土内部钢筋的腐蚀水平。三个已知腐蚀水平的实验室钢筋混凝土样本被用来验证我们的模型。从参数化研究中发现,滤波器的大小与滤波器的数量之间的逆幂律模式作为神经网络层的函数是有效地从噪声雷达图像中提取基本信息并对钢筋腐蚀进行长期稳健预测的关键。从我们的结果中发现,我们提出的深度学习方法(AlexNet-Power2Net)可以在没有任何环境数据的情况下预测长期环境变化影响下不同混凝土柱的腐蚀水平,证明了我们方法的一致性和鲁棒性。环境对b扫描图像的影响被腐蚀程度放大,并在我们预测的水平曲线中表现为假警报。在我们的案例研究中,发现最优初始学习率和最优epoch数分别为0.001和73。我们还发现权值的微调(或模型预训练)可以提高模型的收敛性。
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引用次数: 0
Optimizing shear performance of emulsified asphalt cold recycled mixtures via gyratory compaction: Mechanisms, design, and field validation 通过旋转压实优化乳化沥青冷循环混合料的剪切性能:机制、设计和现场验证
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-15 DOI: 10.1016/j.cscm.2025.e05701
Decai Wang , Xiyang Hou , Ziming Liu , Zongyuan Wu , Shi Dong , Dongfa Han
This study proposes a novel shear index-centered design framework for emulsified asphalt cold recycled mixtures (ECRM) to overcome the limitations of the Marshall design method. A comprehensive system was developed by integrating gyratory compaction, Lorentz function-based pore analysis, and Mohr-Coulomb theory, optimizing compaction parameters and mechanical performance. Experimental results indicate that 50 gyrations achieve optimal compaction, reducing emulsified asphalt content by 0.5 % and water demand by 0.6 % compared to the Marshall method, while increasing dry density to 2.116 g/cm³ . A critical innovation of this study lies in the novel, first-time integration of Lorentz-function-based pore analysis and Mohr–Coulomb shear theory for ECRM design. The Lorentz function not only quantifies the similarity of pore distribution between gyratory compaction specimens and field cores (peak void volume: 0.28 mm³ vs. 0.25 mm³, deviation 12 %) and also provides a micro-scale benchmark for shear-parameter optimization. Based on this benchmark, shear parameters (cohesion c and internal friction angle φ) are innovatively derived from indirect tensile strength (ITS) and unconfined compressive strength (UCS) via simplified Mohr-Coulomb-derived formulas, which avoids the tedious triaxial tests required by traditional methods. Laboratory validations confirm superior performance, including a dynamic stability of 4557 cycles/mm, a freeze-thaw split ratio of 77.6 %, and a low-temperature failure strain of 2160 με. Field validations across four expressway projects (e.g., Beijing-Hong Kong-Macao) demonstrate early-stage structural performance and over 10 years of service without rutting or significant cracking. This integrated design system establishes a quantitative correlation between "microscopic pores and macroscopic shear performance", provides theoretical support for the design and construction of ECRM, and promotes the standardized application of cold recycling technology.
为了克服马歇尔设计方法的局限性,提出了一种以剪切指数为中心的乳化沥青冷再生混合料设计框架。结合旋转压实、基于洛伦兹函数的孔隙分析和Mohr-Coulomb理论,优化压实参数和力学性能,建立了一个综合系统。实验结果表明,与马歇尔方法相比,50次旋转可达到最佳压实效果,使乳化沥青含量降低0.5 %,需水量降低0.6 %,同时使干密度提高到2.116 g/cm³ 。这项研究的一个关键创新在于,首次将基于洛伦兹函数的孔隙分析和Mohr-Coulomb剪切理论整合到ECRM设计中。Lorentz函数不仅量化了旋转压实试样与现场岩心孔隙分布的相似性(峰值孔隙体积:0.28 mm³vs. 0.25 mm³,偏差为12 %),还为剪切参数优化提供了微观尺度基准。在此基础上,创新地通过简化的莫尔-库仑推导公式,从间接抗拉强度(ITS)和无侧限抗压强度(UCS)推导出剪切参数(黏聚力c和内摩擦角φ),避免了传统方法中繁琐的三轴试验。实验室验证结果表明,该材料具有优异的性能,动态稳定性为4557次/mm,冻融分裂比为77.6% %,低温破坏应变为2160 με。对四个高速公路项目(例如京港澳高速公路)的现场验证证明了早期结构性能和超过10年的服务,没有车辙或重大裂缝。该集成设计体系建立了“微观孔隙与宏观抗剪性能”的定量关联,为ECRM的设计和施工提供了理论支持,促进了冷回收技术的标准化应用。
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引用次数: 0
Pore distributive heterogeneity of cementitious materials by poker vibration: Quantification and modification 用扑克振动研究胶凝材料孔隙分布非均质性:量化与修正
IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-07-01 Epub Date: 2025-12-19 DOI: 10.1016/j.cscm.2025.e05720
Zhiming Yu, Yimiao Huang, Wei Dong, Xiaokuan Zhao, Fang Wang, Guowei Ma
Vibration is a critical procedure in the production of cementitious materials to reduce porosity and improve compaction. However, the vibration energy of poker (inserted-type) vibrators exhibits spatial attenuation, which leads to pore distributive heterogeneity and results in uneven mechanical behavior of the material. The current study experimentally investigates the heterogeneity issue and quantifies the relevant efficient compaction zone (ECZ) for a single poker vibrator. Experimental results demonstrate that energy transmission of poker vibration becomes stable at 20 s and forms the ECZ with only 53.9 % coverage. The study confirms that certain difference of insertion depths between two adjacent vibrators can effectively improve the ECZ coverage and solve the corresponding heterogeneity problem. Subsequently, it formulates equations to determine the optimal depth difference and to develop a modified vibration mode. Compared to the conventional operation modes, the presented mode reduces the vertical porosity deviation from 2.46 % to 0.90 % and decreases the overall specimen porosity from 4.27 % to 2.47 %. And it achieves over 95 % ECZ coverage. The findings and the proposed method have applications in promoting the precise vibration control for the on-site cementitious material production.
振动是胶凝材料生产中降低孔隙率和提高压实度的关键工序。而插拔式振动器的振动能量表现为空间衰减,导致孔隙分布不均,导致材料力学行为不均匀。本研究通过实验研究了单个扑克牌振动器的非均质性问题,并量化了相关的有效压实区(ECZ)。实验结果表明,扑克振动的能量传输在20 s时变得稳定,形成的ECZ覆盖率仅为53.9% %。研究证实,相邻两振子插入深度的一定差异可以有效提高ECZ覆盖范围,解决相应的非均质性问题。在此基础上,建立了确定最优深度差的方程,并建立了改进的振动模式。与常规操作模式相比,该模式将垂直孔隙度偏差从2.46 %降低到0.90 %,将整体孔隙度从4.27 %降低到2.47 %。达到了95% %的ECZ覆盖率。研究结果和提出的方法对促进现场胶凝材料生产的精确振动控制具有一定的应用价值。
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引用次数: 0
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Case Studies in Construction Materials
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