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Significance Risks Evaluation of Commercial Construction Projects

Abstract

The main objective of the article is to present quantified and measurable risks likelihood appearance, impact and significance of inspected and monitored 48 commercial construction projects and their feasibility to be carried out. Original technical, financial and organisational feasibility studies in compliance with a rigorous Bank Investment Supervision requirements have been executed by the author in the period of 2005 – 2018. Methodology of construction project appraisal for financing and execution professional preparation have been laid out – technical documentation, arrangements, realisation. Analysis and assessment of Bank Investment Supervision consisted of project execution plan PEP, geotechnical and environmental conditions, permit design, agreements and decision impacts of local authorities, engineering contract for construction works, project insurance and performance bonds, schedule of execution tasks and their costs, payment plan, investment budget and project economical effectiveness, scope of monthly construction works execution assessed by Earned Value Method approach and handover procedure of construction project. An attempt was made to express numerically the relationship between risks impacts and their level of likelihood. Also, a method of associating the influence of projects risks impacts on the extent of the likelihood of project risk occurrence which makes possible to determine the direction and the strength of this relationship was presented. Finally, risks likelihood appearance, impact and significance variability of commercial construction projects within last two years of booming investment industry have been determined.

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Experimental Models and Correlations between Surface Parameters after Slide Diamond Burnishing

References [1] Oczos, K.E., Liubimov, V. (2003). Struktura geometryczna powierzchni [Surface Geometric Structure]. Rzeszow, Poland: Rzeszow Technical University Publishing House. (in Polish) [2] Berglund, J., Brown C.A., Rose, B.G., Bay, N. (2010). Milled die steel surface roughness correlation with steel sheet friction. CIRP Annals - Manufacturing Technology, 59, 577-580. [3] Sedlacek, M., Podgornik, B., Vizintin, J. (2012). Correlation between standard roughness parameters skewness and kurtosis and

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A Method for the Estimation of the Square Size in the Chessboard Image using Gray-level Co-occurrence Matrix

A Method for the Estimation of the Square Size in the Chessboard Image using Gray-level Co-occurrence Matrix

The paper proposes a new simple procedure for measuring the square size employing the gray-level co-occurrence matrix of a chessboard image. As the size of the square structure in a chessboard image provides the geometric constraint information among the corners, it is available to improve the precision of extracting corners and serve the camera calibration. The co-occurrence matrix of a chessboard image is constructed to obtain the statistic information of the grayscale distribution. The 2D offset of the matrix is parameterized to calculate the correlation which is regarded as the implication of the repetition probability of the similar textures. A descending tendency is observed in the experiments because the similarity decreases with the greater offset. However, minimum and maximum are captured in the correlation curve, which represents that the square texture reappears with the periods of one and two square size, separately. The size of the square is tested by applying the first minimum of the correlation. The experiments are performed on the horizontal and vertical directions which are corresponding to the length and the width of the square, respectively. The experiments prove that the described method has the potential to measure square size of the chessboard.

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Characterization of Surface Micro-Roughness by Off-Specular Measurements of Polarized Optical Scattering

. (2016). Algorithm for dynamic speckle pattern processing. Optics and Lasers in Engineering , 82, 56-61. [34] Ansari, M., Nirala, A. (2016). Biospeckle numerical assessment followed by speckle quality tests. Optik , 127, 5825-5833. [35] Molaei, S. (2016). The measurement of Young’s modulus of thin films using secondary laser speckle patterns. Measurement , 92, 28-33. [36] Park, J., Yoon, S., Kwon, T., Park, K. (2017). Assessment of speckle-pattern quality in digital image correlation based on gray intensity and speckle morphology. Optics and

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Validation of the cone penetrometer suitability for determining the state of soil

Abstract

The subject matter of this paper is assessment of the suitability of a dynamic cone penetrometer for determination of the state of soil. The principle of operation of the dynamic cone penetrometer, similar to commonly used DPL penetrometers, is described in the paper. Next the results of investigation conducted in Poland using a new dynamic cone penetrometer are presented. A series of measurements were performed in real field conditions. An attempt was made to correlate the results obtained with the dynamic and static cone penetrometers (CPT) respectively. These correlations were then subjected to validation to obtain a preliminary evaluation of the suitability of the dynamic cone penetrometer for determining the state of soil.

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Indirect Tensile Test as a Simple Method for Rut Resistance Evaluation of Asphalt Concrete

Abstract

The paper presents the dependence of ITS results at the elevated temperature (40°C) on rutting parameters, i.e. proportional rut depth (PRDAIR) and wheel tracking speed (WTSAIR), obtained at the temperature of 60°C. The asphalt mixture samples were prepared in the gyratory compactor, but ITS tests were conducted with typical Marshall press, at a loading rate of 50 mm/min. Correlation analyses show a strong relationships between ITS results and rutting parameters, whereby the correlation coefficients obtained are higher for the PRDAIR parameter (r = −0.88) than WTSAIR (r = −0.81). Using the obtained regression functions, the prediction limits as well as confidence limits were calculated, which allowed to develop criteria for assessing resistance to rutting on the basis of ITS test, and taking into account the technical requirements in Poland.

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Proposition of a Solution for the Setting of the Abrasive Waterjet Cutting Technology

Abstract

The submitted paper aims to clarify the abrasive waterjet technology, particularly from the point of view of produced surface topography. It provides a new insight into the deformation process caused by the effect of abrasive waterjet and into the possibilities of using the surface topography for solving the issues of optimization of the process. The subject of study is a system of cutting tool, material and final surface topography and optimization of their parameters. The cutting or disintegrating tool of abrasive waterjet technology is flexible. The trajectory of its cut traces is strictly determined here by disintegration resistance at critical moments of tool-material interaction. The physico-mechanical character of the interaction within the cut will manifest itself in the final surface condition. This process can be re-analysed by measuring the selected elements of topography and roughness on the final surface, namely depending on the depth of the cut, technological parameters of the tool and mechanical parameters of the material. The mentioned principle is the basis of the presented solution. It lies in the analytical processing and description of correlation interrelations between set technological and measured topographical quantities in relation to the depth of cut and the type of material.

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Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach

Neuroscience Methods , 177 (2), 479–487. [40] Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., Müller, M. (2011). pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics , 12, 77. [41] Model Evaluation: Quantifying the quality of predictions . https://scikit-learn.org/stable/modules/model_evaluation.html . [42] Boughorbel, S., Jarray, F., El-Anbari, M. (2017). Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric. PLoS One , 12 (6), e0177678. [43

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Comparative Analysis of the Empirical Seismic Vulnerability of Typical Structures in Multiple Intensity Zones

Vibration and Shock 33(11): 78-106, 2014. 18. X.H. Yu, “Probabilistic seismic fragility and risk analysis of reinforced concrete frame structures”, Doctor thesis, Harbin Institute of Technology, Harbin, 2012. 19. K. Faraji, M. Miri, “Correlation Between Damage Indexes in Knee Bracing Frames Subjected to Earthquakes” Advanced Materials Research 255-260, 2350-2354, 2011. 20. V.M. Zobin, F. Ventura-ramírez, C.L. Gutiérrez-andrade, L.H. Cruz, S. Santibáñez-ibáñez, “The Mw 7.4 Colima, Mexico, Earthquake of 21 January 2003: The Observed Damage Matrix in Colima

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A Strong and Efficient Baseline for Vehicle Re-Identification Using Deep Triplet Embedding

from tensorflow.org. [2] Y. Bai, Y. Lou, F. Gao, S. Wang, Y. Wu, and L. Duan. Group Sensitive Triplet Embedding for Vehicle Reidentification. IEEE Transactions on Multimedia, 2018. [3] S. Bak, M. S. Biagio, R. Kumar, V. Murino, and F. Bremond. Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition. IEEE Transactions on Systems, Man, and Cybernetics, 2017. [4] J. Bromley, J. W. Bentz, L. Bottou, I. Guyon, Y. Lecun, C. Moore, E. Säckinger, and R. Shah. Signature Verification Using a “Siamese” Time Delay Neural

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