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Cold weather concreting: codes' provisions and research advances 低温混凝土:规范规定与研究进展
Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-09 DOI: 10.1680/jcoma.23.00062
A. M. Yasien, M. T. Bassuoni
In cold regions, concrete practitioners face challenges in achieving the target performance criteria of concrete produced under low temperatures. When concrete temperature drops to −2.8°C, the hydration development of cementitious binders nominally ceases due to the freezing of mixing water, which results in hydraulic and osmotic pressures, that exceed the tensile capacity of concrete, especially at early-age (immature stage). Subsequently, the hardening and strength gain rates of concrete are adversely affected, resulting in insufficient microstructural development and irreversible deterioration, which makes concrete applications challenging under cold weather. Therefore, multiple investigations have been conducted to develop efficient approaches to overcome the challenges of placing concrete under low temperatures. The current paper synthesizes code provisions in North America and Europe and state-of-the-art knowledge on cold weather concreting, in terms of mixtures components as well as new inventions and methods of concrete curing and protection under low temperatures. Hence, it should provide informative guidance for the construction industry in cold regions to improve cold weather concreting practices.
在寒冷地区,混凝土从业者在实现低温下生产的混凝土的目标性能标准方面面临挑战。当混凝土温度降至−2.8℃时,由于搅拌水的冻结,名义上胶凝粘合剂的水化发展停止,这导致水压和渗透压超过混凝土的抗拉能力,特别是在早期(未成熟阶段)。随后,混凝土的硬化率和强度增加率受到不利影响,导致微观结构发育不足和不可逆退化,这使得混凝土在寒冷天气下的应用具有挑战性。因此,已经进行了多次调查,以开发有效的方法来克服在低温下放置混凝土的挑战。本文综合了北美和欧洲的规范规定以及关于寒冷天气混凝土的最新知识,包括混合物成分以及低温下混凝土养护和保护的新发明和方法。因此,它应该为寒冷地区的建筑行业提供信息指导,以改善寒冷天气的混凝土实践。
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引用次数: 0
Mix design, optimization and performance evaluation of extrusion-based 3D printable concrete 挤压型3D打印混凝土的配合比设计、优化及性能评价
Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-03 DOI: 10.1680/jcoma.23.00077
P.S. Ambily, Neeraja Rajendran, Senthil Kumar Kaliyavaradhan
3D concrete printing (3DCP) is a cutting-edge construction method that has recently received much attention. Most of the 3DCP research works focused on printer development, printable material mix design, and the complexity of the geometry shapes. This research primarily focuses on determining appropriate mix proportions and suitable 3D printable concrete (3DPC) mix design using a trial and error approach. The experimental tests are performed on 27 mix trials with different materials to determine the printable properties such as flowability, buildability, extrudability, and open time. Also, printed and cast samples were tested for compressive strength. The 3DPC mix with 19% OPC, 23% of fly ash, 7% of silica fume, 13% of GGBS, 4% limestone and 0.22% superplasticizer (% by mass of total binder) was found as identified mix proportion, which exhibits the required 3DPC characteristics such as good buildability, easy extrusion, less setting time, cohesiveness of mix, and reduction in deformation. The proposed mixing protocol and suggested 3DPC mix design were encouraging for large-scale 3DCP. To demonstrate the application of the 3DPC mix, the 3D printed concrete furniture was printed with a nozzle of size 30 mm, extrusion speed of 100mm/s and a printing speed of 60mm/s.
3D混凝土打印(3DCP)是近年来备受关注的一种前沿施工方法。大多数3DCP研究工作集中在打印机开发、可打印材料组合设计和几何形状的复杂性上。本研究主要侧重于通过试错法确定合适的配合比和合适的3D打印混凝土(3DPC)配合比设计。实验测试了27种不同材料的混合试验,以确定可打印性能,如流动性、可构建性、可挤压性和打开时间。此外,还对印刷和铸造样品进行了抗压强度测试。确定了OPC含量为19%、粉煤灰含量为23%、硅灰含量为7%、GGBS含量为13%、石灰石含量为4%、高效减水剂(占总粘结剂质量%)含量为0.22%的3DPC混合料,该混合料具有良好的可建性、易挤压性、凝结时间短、粘结性强、变形小等3DPC特性。提出的混合协议和建议的3DPC混合设计对于大规模3DCP是令人鼓舞的。为了演示3DPC混合料的应用,3D打印混凝土家具的喷嘴尺寸为30 mm,挤出速度为100mm/s,打印速度为60mm/s。
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引用次数: 0
Effects of two-phase mixing process on wma by factorial analysis and its performance 通过析因分析两相混合过程对wma的影响及其性能
Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-10-12 DOI: 10.1680/jcoma.23.00039
Hemanta Kumar Behera, Sudhanshu Sekhar Das, Debabrata Giri
Warm-mix asphalt (WMA) was produced using a two-phase mixing process without additives, with bitumen–emulsion-coated aggregates and with bitumen at different mixing temperatures (MTs). The asphalt samples were prepared with 8% ground granulated blast-furnace slag fillers determined from hot-mix asphalt (HMA) analysis, with different bitumen-to-emulsion ratios and different MTs. Using the factorial design technique, the effects of the selected factors on Marshall performance parameters were investigated using interaction plots and main effect plots. The analysis from contour plots revealed that WMA prepared at 120°C with a bitumen-to-emulsion ratio of 80:20 performed best, with indirect tensile strength, tensile strength ratio, retained stability, rutting tests and ravelling loss values all meeting the standard code limits. Compared with HMA, the chosen WMA had a 37% lower ravelling loss.
采用无添加剂、沥青乳液包覆集料和沥青在不同混合温度下的两相混合工艺制备了温拌沥青。采用热混合沥青(HMA)分析确定的8%磨粒型高炉渣填料,在不同沥青与乳状液比和不同mt的条件下制备沥青样品,利用因子设计技术,通过交互作用图和主效应图研究了所选因素对马歇尔性能参数的影响。等高线图分析表明,在120℃条件下,沥青与乳液比为80:20时制备的WMA性能最佳,其间接抗拉强度、抗拉强度比、保持稳定性、车辙试验和松散损失值均满足标准规范限值。与HMA相比,选择的WMA的散失率降低了37%。
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引用次数: 0
Effect of hybrid E-glass and basalt fibre on the flexural behaviour of concrete 混合e -玻璃与玄武岩纤维对混凝土抗弯性能的影响
Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-09-01 DOI: 10.1680/jcoma.20.00051
Deendayal Rathod, S. Manikandaprabhu
The addition of fibres to concrete enhances several mechanical properties under tension and flexure. This paper discusses the benefits of adding two types of fibres, namely E-glass and basalt, to a concrete mixture. The mechanical properties of of conventional and fibre-reinforced concrete were assessed by subjecting cubes and cylinders to compressive strength, splitting tensile, impact and modulus of elasticity tests. A flexural beam set-up was also constructed with varying reinforcement and tested under two-point loading. The deflections under the loading were measured using a deflectometer. The strains in the reinforcement were also measured using strain gauges. It was found that the hybrid fibre-reinforced concrete (HFRC) containing 2% basalt fibre and 1% E-glass fibre exhibited higher compressive strength than various other mix proportions. It was also found that the HFRC exhibited less deflection and higher modulus of elasticity and stiffness compared with the conventional concrete specimen. In addition, the HFRC was observed to have a higher impact resistance.
向混凝土中加入纤维可提高混凝土在拉伸和弯曲下的几种力学性能。本文讨论了在混凝土混合物中加入两种纤维的好处,即e -玻璃纤维和玄武岩纤维。通过对立方体和圆柱体进行抗压强度、劈裂拉伸、冲击和弹性模量试验,评价了常规混凝土和纤维增强混凝土的力学性能。弯曲梁的设置也建立了不同的钢筋和两点荷载下的测试。载荷作用下的挠度用挠度计测量。钢筋中的应变也用应变片测量。结果表明,含有2%玄武岩纤维和1% e-玻璃纤维的混杂纤维增强混凝土(HFRC)的抗压强度高于其他配合比。与常规混凝土试件相比,HFRC具有更小的挠度和更高的弹性模量和刚度。此外,观察到HFRC具有更高的抗冲击性。
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引用次数: 3
Ballistic impact: predicting penetration depth in UHPC targets with ML models 弹道冲击:用ML模型预测UHPC目标的侵彻深度
IF 1.5 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-08-29 DOI: 10.1680/jcoma.23.00006
Nabodyuti Das, B. Darshan, Prakash Nanthagopalan
This paper presents the application of Artificial Neural Network (ANN) model for predicting the penetration depth under projectile impact in Ultra High Performance Concrete (UHPC) targets containing steel fibers. Despite the availability of a large number of existing empirical models, the prediction of penetration depth remained inconclusive, partly owing to the phenomenon's complexity and partly due to the limitation of statistical regression. From the results of this study, it is evident that the ANN model is capable of predicting the penetration depth of UHPC more accurately than the other machine learning models (Linear Regression (LR), Decision Tree Regression (DTR), and Random Forest Regression (RFR)) and empirical formulae. The ANN model achieved a lower Root Mean Square Error (RMSE) of 11.68 compared to other machine learning models (RMSE – 16.66 to 19.74) and empirical equations (RMSE – 25.17 to 53.42), when applied to the test dataset. The velocity, impact energy, diameter of the projectile, and thickness of the UHPC targets are the most significant parameters (p-value <5%) for predicting the penetration depth using ANN and MLR models.
本文介绍了人工神经网络(ANN)模型在含钢纤维超高性能混凝土(UHPC)靶体弹丸冲击侵彻深度预测中的应用。尽管已有大量的经验模型,但由于现象的复杂性和统计回归的局限性,对渗透深度的预测仍然不确定。从本研究的结果可以看出,与其他机器学习模型(线性回归(LR),决策树回归(DTR)和随机森林回归(RFR))和经验公式相比,人工神经网络模型能够更准确地预测UHPC的渗透深度。当应用于测试数据集时,与其他机器学习模型(RMSE - 16.66至19.74)和经验方程(RMSE - 25.17至53.42)相比,ANN模型的均方根误差(RMSE)较低,为11.68。速度、冲击能、弹丸直径和UHPC目标厚度是利用人工神经网络和MLR模型预测侵彻深度的最显著参数(p值<5%)。
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引用次数: 0
Physio-chemical characterisation of ultra-fine-slag-based ultra-high-performance concrete 超细矿渣基高性能混凝土理化特性研究
IF 1.5 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-08-09 DOI: 10.1680/jcoma.23.00017
Nabodyuti Das, Aparna Sai Surya Sree Nedunuri, Prakash Nanthagopalan
Ultra-high-performance concrete meets the demand of modern infrastructure due to its exceptional strength and durability. The effect on concrete strength of size and shape of fine aggregates, and binder content and type, were investigated. Particle packing concepts were adopted for fine aggregate optimisation, and shape of the fine aggregate was assessed using an aggregate image measurement system. Further, the effects of binder content, binder type and curing age were investigated through compressive strength, thermos-gravimetric analysis and quantitative X-ray diffraction. Mixtures with 2.36 mm nominal maximum size of aggregate and angular aggregates exhibited higher compressive strength. No significant increase in the compressive strength beyond the optimum binder content of 1000 kg/m3 was observed. The study also revealed that ultra-fine slag as a feasible alternative to silica fume. The thermos-gravimetric and X-ray results of concrete paste samples at different curing ages showed that the degree of hydration was relatively low (38.3%) with no further significant increase beyond seven days. This work contributes to the fundamental understanding of the effect of raw materials on ultra-high-performance concrete strength, which helps in rational selection of materials and mixture proportioning.
高性能混凝土以其优异的强度和耐久性满足了现代基础设施的需求。研究了细集料的粒径、形状、粘结剂的掺量和种类对混凝土强度的影响。采用颗粒填充的概念对细骨料进行优化,并使用骨料图像测量系统对细骨料的形状进行评估。通过抗压强度、热重分析和x射线定量衍射分析,考察了粘结剂含量、粘结剂类型和固化龄期对复合材料的影响。骨料标称最大粒径为2.36 mm和角形骨料的混合料抗压强度较高。在最佳粘结剂含量为1000 kg/m3时,抗压强度没有显著提高。研究还表明,超细矿渣是替代硅灰的可行选择。不同养护龄期混凝土膏体试样的热重和x射线结果表明,其水化程度较低(38.3%),超过7 d后水化程度无显著提高。本工作有助于从根本上了解原材料对高性能混凝土强度的影响,有助于合理选择材料和配合比。
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引用次数: 0
Effect of temperature profile on dynamic behavior of asphalt pavements under moving loads 温度分布对移动荷载作用下沥青路面动力特性的影响
IF 1.5 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-08-09 DOI: 10.1680/jcoma.22.00116
Ehsan Tabasi, Behnam Jahangiri, Farhad Kooban
The performance of pavement structures is influenced by their dynamic responses, which are governed by factors such as traffic loads, temperature variations, and material properties. In this study, the dynamic behavior of asphalt pavement subjected to harmonic rectangular moving loads and varying boundary conditions and temperature profiles is investigated. The dynamic response of multi-layered asphalt pavements is analyzed using the third-order shear deformation plate theory (TSDPT). The governing equations of motion in the time domain are derived using Hamilton's principle, and solutions are obtained in the Laplace domain through the Fourier series. Durbin's transform is then applied to revert the equations back to the time domain. The accuracy of the proposed approach is validated through comparisons with literature data and finite element simulations. The results demonstrate that these factors significantly influence the response of the considered system to excitations. The study's key findings include: A higher dynamic response is observed in asphalt pavement under uniform temperature fields compared to linear and harmonic distributions. Harmonic temperature patterns result in larger deflections than linear profiles. Therefore, the non-uniformity of temperature fields, particularly those with harmonic patterns, should be considered in pavement design and construction.
路面结构的动力响应受交通荷载、温度变化和材料性能等因素的影响。本文研究了沥青路面在调和矩形移动荷载、不同边界条件和温度剖面作用下的动力特性。采用三阶剪切变形板理论(TSDPT)分析了多层沥青路面的动力响应。利用哈密顿原理推导了时域内的运动控制方程,并通过傅里叶级数在拉普拉斯域中得到了解。然后应用德宾变换将方程还原到时域。通过与文献数据和有限元仿真的比较,验证了该方法的准确性。结果表明,这些因素显著影响所考虑的系统对激励的响应。该研究的主要发现包括:与线性和谐波分布相比,均匀温度场下沥青路面的动态响应更高。谐波温度模式导致比线性曲线更大的偏转。因此,在路面设计和施工中应考虑温度场的非均匀性,特别是具有谐波型的温度场。
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引用次数: 2
Timber moisture content evaluation using spiral capacitive structures 用螺旋电容结构评价木材含水率
IF 1.5 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-07-19 DOI: 10.1680/jcoma.22.00020
B. Oommen, J. Philip
In this work a transducer based on spiral planar inter-digital capacitive structure is designed and implemented for timber moisture content measurement. The sensor capacitance measured at frequency 100 KHz is found to depend strongly on the material dielectric properties, which is found to increase with increasing moisture contents (MC). The moisture contents in the range from 0% to 82% for 5 different varieties of timber specimens are measured and the results presented. The measured capacitances increase with moisture contents with an exponential fitting, with a correlation coefficient better than 0.98 indicating good fit for all the timber varieties. The sensitivity of the technique varies with the specimen as well as its moisture content. The best sensitivity obtained is 0.01 pF/MC%. The performance of the technique in terms of relevant sensor parameters has been analysed and compared with existing techniques for the same measurement. Although several moisture measurement methods exist for timber, the present inter-digital capacitive technique has many advantages over them in terms of sensitivity, dynamic range, cost effectiveness, non-invasiveness, non-destructiveness and measurement speed.
本文设计并实现了一种基于螺旋平面数字间电容结构的木材含水率传感器。在频率为100 KHz时测量的传感器电容与材料介电性能密切相关,而材料介电性能随含水量(MC)的增加而增加。对5种不同品种的木材试样进行了0% ~ 82%的含水率测试,并给出了测试结果。实测电容值随含水率的增加呈指数拟合,相关系数大于0.98,表明对所有木材品种均拟合良好。该技术的灵敏度随样品及其含水率而变化。获得的最佳灵敏度为0.01 pF/MC%。分析了该技术在相关传感器参数方面的性能,并与现有的相同测量技术进行了比较。虽然目前已有几种木材水分测量方法,但目前的数字间电容技术在灵敏度、动态范围、成本效益、非侵入性、非破坏性和测量速度等方面都具有许多优势。
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引用次数: 0
Effect of heating–cooling regimes on the compressive strength of Alfa fiber Concrete 加热-冷却方式对阿尔法纤维混凝土抗压强度的影响
IF 1.5 Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-07-13 DOI: 10.1680/jcoma.23.00022
Zied Ben Hammed, H. Sabeur, M. B. Ouezdou
In the first part of this research, concretes with different dosage on Alfa fibers were formulated. At ambient temperature, the results show that the incorporation of 1% per volume of concrete of untreated Alfa fiber represents the highest mechanical values among the Alfa fiber concretes. Further, the addition of Alfa fibers induces an increase in ductility, compared to no fiber concrete. In the second part, specimens of ordinary concrete, concrete with polypropylene fibers, with treated and untreated Alfa fibers are heated to various temperature plateaus up to 800°C, with an average heating rate 7- 8°C/min, in steps of 100°C, maintained for 3 h. At the end of these heating parts, two cooling regimes are applied: air and water cooling regimes. The impact of these heating-cooling regimes has been valued through the study of the residual compressive strength. For both regimes and for all types of fiber concretes, compressive strength drastically reduces, up to 800°C with linear tendencies. More damage is noticed in the case of fiber concrete quenched in the water. Furthermore, for both cooling regimes, the use of Alfa fibers allowed an improvement in the residual compressive strength of ordinary concrete and more particularly in the temperature range [500-800°C].
在本研究的第一部分中,配制了不同掺量的Alfa纤维混凝土。在常温下,未经处理的Alfa纤维掺入量为1% /体积时,其力学值最高。此外,与不添加纤维的混凝土相比,添加阿尔法纤维的混凝土延展性增加。在第二部分中,普通混凝土、聚丙烯纤维混凝土、经过处理和未经处理的阿尔法纤维试样被加热到高达800°C的各种温度平台,平均加热速率为7- 8°C/min,步骤为100°C,保持3小时。在这些加热部分结束时,采用两种冷却方式:空气和水冷却方式。通过对残余抗压强度的研究,对这些加热-冷却机制的影响进行了评估。对于这两种制度和所有类型的纤维混凝土,抗压强度急剧下降,高达800°C线性趋势。纤维混凝土在水中淬火时的破坏更为明显。此外,对于两种冷却机制,使用阿尔法纤维可以提高普通混凝土的残余抗压强度,特别是在温度范围[500-800°C]。
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引用次数: 0
Thermo-mechanical and durability properties of expanded perlite aggregate foamed concrete 膨胀珍珠岩骨料泡沫混凝土的热力学性能和耐久性
Q3 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-07-01 DOI: 10.1680/jcoma.20.00041
Sakir Sharook, Dhanya Sathyan, Mini K. Madhavan
The thermal conductivity of a material is a measure of its capacity to conduct heat and is a major factor influencing heat transfer in buildings. For better thermal insulation, construction materials should possess low thermal conductivity. The feasibility of expanded perlite aggregate as a thermal insulation material in foamed concrete was examined. Mechanical, thermo-mechanical and durability properties were assessed and compared. A base mix was designed to have 1100 kg/m 3 density, a water-to-solids ratio of 0.3 and a cement-to-sand ratio of 1:1. Expanded perlite aggregate was used as a substitute for fine aggregate in the foamed concrete mix at contents of 0, 10, 20 and 30% by volume. The work was extended by replacing cement with 60% by weight of fly ash to study an eco-friendly mix. The test results showed that the strength values increased with an increase in fly ash and decreased with an increase in perlite. The reverse trend was observed for thermal conductivity and durability, which was also affected by the addition of perlite. The test results showed that expanded perlite is an excellent replacement for sand as a thermal insulation material. The efficiency of the developed material was assessed by an analytical model using the Comsol Multiphysics software program.
材料的导热性是衡量其导热能力的指标,是影响建筑物传热的主要因素。为了获得更好的隔热效果,建筑材料应具有较低的导热系数。考察了膨胀珍珠岩骨料作为泡沫混凝土保温材料的可行性。机械、热机械和耐久性性能进行了评估和比较。基础混合物的密度为1100 kg/ m3,水固比为0.3,水泥砂比为1:1。采用膨胀珍珠岩骨料代替细骨料,在泡沫混凝土配合比中体积掺量分别为0、10、20、30%。为了研究一种环保的混合材料,研究人员将水泥替换成重量占比60%的粉煤灰。试验结果表明,强度值随粉煤灰掺量的增加而增大,随珍珠岩掺量的增加而减小。热导率和耐久性的变化趋势相反,这也受到珍珠岩添加的影响。试验结果表明,膨胀珍珠岩是一种很好的替代砂土的保温材料。利用Comsol Multiphysics软件程序建立分析模型,对所制备材料的效率进行了评估。
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引用次数: 5
期刊
Proceedings of the Institution of Civil Engineers-Construction Materials
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