Automated monitoring and warning solution for concrete placement and vibration workmanship quality issues

Abstract

Placing and vibrating concrete are vital activities that affect its quality. The current monitoring method relies on visual and time-consuming feedbacks by project managers, which can be subjective. With this method, poor workmanship cannot be detected well on the spot; rather, the concrete is inspected and repaired after it becomes hardened. To address the problems of retroactive quality control measures and to achieve real-time quality assurance of concrete operations, this paper presents a monitoring and warning solution for concrete placement and vibration workmanship quality. Specifically, the solution allows for collecting and compiling real-time sensor data related to the workmanship quality and can send alerts to project managers when related parameters are out of the required ranges. This study consists of four steps: (1) identifying key operational factors (KOFs) which determine acceptable workmanship of concrete work; (2) reviewing and selecting an appropriate positioning technology for collecting the data of KOFs; (3) designing and programming modules for a solution that can interpret the positioning data and send alerts to project managers when poor workmanship is suspected; and (4) testing the solution at a certain construction site for validation by comparing the positioning and warning data with a video record. The test results show that the monitoring performance of concrete placement is accurate and reliable. Follow-up studies will focus on developing a communication channel between the proposed solution and concrete workers, so that feedbacks can be directly delivered to them.

Keywords

Real-time monitoring / Concrete quality / Placement and vibration / Workmanship

References

[1] ACI Committee 304. 304R–00 guide for measuring, mixing, transporting, and placing concrete, 2002 Indianapolis American Concrete Institute

[2] ACI Committee 309. 309R–05 guide for consolidation of concrete, 2005 Indianapolis American Concrete Institute

[3] ACI Committee 309. 309.2R–98 Identification and control of visible effects of consolidation on formed concrete surfaces, 2017 Indianapolis American Concrete Institute

[4] ACI Committee 311. SP-002(07) manual of concrete inspection, 2007 Indianapolis American Concrete Institute

[5] AhzaharN, KarimNA, HassanSH, EmanJ. A study of contribution factors to building failures and defects in construction industry. Procedia Engineering, 2011, 20: 249-255

[6] AljassmiH, HanS. Analysis of causes of construction defects using fault trees and risk importance measures. Journal of Construction Engineering and Management, 2012, 139(7):870-880

[7] BarberP, GravesA, HallM, SheathD, TomkinsC. Quality failure costs in civil engineering projects. International Journal of Quality and Reliability Management, 2000, 17(4/5):479-492

[8] Cement Concrete & Aggregates Australia. (2006). Compaction of concrete. Retrieved from https://www.boral.com.au/sites/default/files/media/field_document/Compaction%20of%20Concrete.pdf.

[9] Cement Concrete & Aggregates Australia. (2018). Concrete basics—A guide to concrete practice. Retrieved from https://www.ccaa.com.au/imis_prod/documents/ConcreteBasics.pdf.

[10] GongJ, YuY, KrishnamoorthyR, RodaA. Real-time tracking of concrete vibration effort for intelligent concrete consolidation. Automation in Construction, 2015, 54: 12-24

[11] KennedyLK. The contractor’s guide to quality concrete construction, 2005 Indianapolis American Concrete Institute

[12] KimM-K, ChengJC, SohnH, ChangC-C. A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning. Automation in Construction, 2015, 49: 225-238

[13] KosmatkaSH, KerkhoffB, PanareseWC. Design and control of concrete mixtures, 2011 Skokie Portland Cement Association

[14] Lee, S. G., & Skibniewski, M. J. (2019). Monitoring of concrete placement and vibration for real-time quality control. In Creat. Constr. Conf. 2019, 67–76. Budapest University of Technology and Economics.

[15] LinC-L, FanC-L. Examining association between construction inspection grades and critical defects using data mining and fuzzy logic. Journal of Civil Engineering and Management, 2018, 24(4):301-317

[16] LiuY, ZhongD, CuiB, ZhongG, WeiY. Study on real-time construction quality monitoring of storehouse surfaces for RCC dams. Automation in Construction, 2015, 49: 100-112

[17] LovePE. Auditing the indirect consequences of rework in construction: A case based approach. Managerial Auditing Journal, 2002, 17(3):138-146

[18] LovePE, TeoP, MorrisonJ. Revisiting quality failure costs in construction. Journal of Construction Engineering and Management, 2017, 144(2):05017020

[19] LundkvistR, MeilingJH, SandbergM. A proactive plan-do-check-act approach to defect management based on a Swedish construction project. Construction Management and Economics, 2014, 32(11):1051-1065

[20] MillsA, LovePE, WilliamsP. Defect costs in residential construction. Journal of Construction Engineering and Management, 2009, 135(1):12-16

[21] Minnesota Department of Transportation. (2003). Concrete manual. Retrieved from https://www.dot.state.mn.us/materials/concretemanual.html.

[22] Neeley, B. D. (1993). Assessing workability complaints in mass concrete construction. U.S. Army Corps of Engineers. Retrieved from https://apps.dtic.mil/sti/citations/ADA266175.

[23] ParkC-S, LeeD-Y, KwonO-S, WangX. A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template. Automation in Construction, 2013, 33: 61-71

[24] RoyS, PohK, NorthwoodD. Durability of concrete—Accelerated carbonation and weathering studies. Building and Environment, 1999, 34(5):597-606

[25] RwelamilaP, WisemanG. Concrete quality management: A research study of the general contractor in South Africa. Construction and Building Materials, 1995, 9(3):173-183

[26] Siegfried, R. W. (1992). Evaluation and repair of concrete slabs. Florida University-Gainsville Department of Civil Engineering. Retrieved from https://apps.dtic.mil/sti/citations/ADA254812.

[27] TattersallGH. Workability and quality control of concrete, 1991 London CRC Press

[28] TianZ, BianC. Visual monitoring method on fresh concrete vibration. KSCE Journal of Civil Engineering, 2014, 18(2):398-408

[29] TianZ, SunX, SuW, LiD, YangB, BianC, WuJ. Development of real-time visual monitoring system for vibration effects on fresh concrete. Automation in Construction, 2019, 98: 61-71

[30] U.S. Department of Agriculture Natural Resources Conservation Service. (2008). National engineering handbook, part 645 Construction Inspection. Retrieved from https://directives.sc.egov.usda.gov/viewerFS.aspx?hid=31701.

[31] WangD, RenB, CuiB, WangJ, WangX, GuanT. Real-time monitoring for vibration quality of fresh concrete using convolutional neural networks and IoT technology. Automation in Construction, 2021, 123: 103510