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DESIGNING AND DETAILING OF BUILDING SYSTEMS. MECHANICS IN CIVIL ENGINEERING

Features of monolithic beam floor operation under load

Vestnik MGSU 11/2013
  • Malakhova Anna Nikolaevna - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Associate Professor, Department of Architectural and Structural Design, Department of Reinforced Concrete Structures, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 50-57

The article deals with a monolithic floor in the form of a solid slab with intercolumn beams arranged in two directions, with cell dimensions 5,7×8,0 m. The article presents a constructive solution: floor slab having a thickness (h) 200 mm is based on contour beam cross-section with the dimensions of 300×500 (b×h) mm. The reinforcement of structural elements of a slab is shown.The results of simplified floor slab calculation in the elastic stage and by limit equilibrium method are presented. The simplification of the floor calculation due to the separate calculation of beams (the main supporting structure of the floor) and slabs, supported by a system of beams, is offered. It is considered that slabs are firmly fastened on four sides with no displacement of supports.Also the results of computer calculation of monolithic beam floors are presented, which take into account the operation of structural elements of the floor. In the process of computer calculation of monolithic beam floor the slab was modeled by plate members and floor beams — by axial elements.The author gives a comparative analysis of the results of simplified calculations and computer calculations of a monolithic beam floor made on the basis of the final stress distribution in the slab. Special features of a monolithic beam slab under the load depend on the parameters of stiffness of contour floor beams.

DOI: 10.22227/1997-0935.2013.11.50-57

References
  1. Tamrazyan A.G. O vliyanii snizheniya zhestkosti zhelezobetonnykh plit perekrytiy na nesushchuyu sposobnost' pri dlitel'nom deystvii nagruzki [On the Influence of Reducing the Stiffness of Reinforced Concrete Floor Slabs on their Bearing Capacity under Long-term Load]. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering]. 2012, no. 7, pp. 30—32.
  2. Yarov V.A., Koyankin A.A., Skripal'shchikov K.V. Eksperimental'nye issledovaniya uchastka monolitnogo perekrytiya mnogoetazhnogo zdaniya [Experimental Investigations of a Section of the Monolithic Floor of a Multi-storey Building]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2009, no. 3, pp.150—153.
  3. Potapov Yu.B., Vasil'ev A.V., Fedorov I.V., Vasil'ev V.P. Zhelezobetonnye perekrytiya s plitoy, opertoy po konturu [Reinforced Concrete Floors with a Slab Supported on a Contour]. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering]. 2009, no. 3, pp. 40—41.
  4. Russo G., Pauletta M.. Seismic Behavior of Exterior Beam-Column Connections with Plain Bars and Effects of Upgrade. ACI Structural Journal. 2012, March, vol. 109, no. 2, pp. 225—233.
  5. Lips S., Ruiz M.F., Muttoni A.. Experimental Investigation on Punching Strength and Deformation Capacity of Shear-Reinforced Slabs. ACI Structural Journal. 2012, November, vol. 109, no.6, pp. 889—900.
  6. Torsten Welsch, Markus Held. Zur Geschichte der Stahlbetonflachdecke. Beton- und Stahlbetonbau. 2012, vol. 107, no. 2, pp. 106—115.

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METHODOLOGICAL ASPECTS OF CLASSIFICATION OF INVESTMENT MODELS APPLICABLE TO CONSTRUCTION PROJECTS

Vestnik MGSU 3/2012
  • Yaskova Natalya Yurevna - Moscow State University of Civil Engineering (MSUCE) Doctor of Economics, Professor, Department of Economics and Management in Construction Industry, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russia; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Moskvichev Danil Vasilevich - Moscow State University of Civil Engineering (MSUCE) postgraduate student, Department of Economics and Management in Construction Industry 8 (495) 287-49-19, ext. 312, Moscow State University of Civil Engineering (MSUCE), 26 Yaroslavskoe shosse, Moscow, 129337, Russia; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 187 - 192

The paper covers the identification of basic investment models applicable to construction
projects. They are needed to substantiate the transformation of the investment system, to identify
the numerical values of the investment process, and to solve the problems that prevent the efficiency
improvement of the investment system. As a result of the analysis, the authors have identified
sixteen models that differ in the mode of investment, investment targets, types of investees,
investors, investment sources, investment methods, investment schemes, repayment patterns,
strategic goals, countries of origin, restrictions imposed on investment resources, payback patterns,
investment period, economic system development, financing procedure, type of investment
period alterations.
The multiplicity and variety of investment models prevent us from performing a comprehensive
comparative analysis; therefore, investment models are to be consolidated into classes that
display higher-level systemic features. As a result of comprehensive comparison of existing investment
models those models that are typical for the construction industry have been identified. They
are (1) mid-term dynamic models, and (2) target-oriented models.
Consideration of the two classes of features prevents us from preparing an exhaustive overview
of the investment process. Therefore, as a result of research of the investment system structure
its backbone element was identified. It represents an investment method that is the basic
classifier. Thus, the basic classifier of an investment model is composed of three basic classificatory
features, including the time, the investee, and the investment method. As a result, a credit
investment model, a security investment model, a cooperative investment model, a project investment
model, an economic investment model, a centralized investment model, a share investment
model, and a combined investment model were identified.

DOI: 10.22227/1997-0935.2012.3.187 - 192

References
  1. Yas’kova N.Yu. Razvitie investitsionno-stroitel’nykh protsessov v usloviyakh globalizatsii [Development of Investment and Construction Processes in the Context of Globalization]. Moscow, MAIES, U Nikitskikh vorot, 2009.
  2. Yas’kova N.Yu., edited by. Finansy i kredit v stroitel’stve [Finances and Credit in Construction Industry]. Moscow : Molodaya gvardiya, 2011.
  3. Strategiya sotsial’no-ekonomicheskogo razvitiya strany do 2020 goda [The Strategy of Social and Economiñ Development of the Country Through 2020]. Available at: www.strategy2020.rian.ru. Date of Access: 20.02.2012.
  4. Putin V.V. O nashikh ekonomicheskikh zadachakh [About Our Economic Objectives]. Available at: www.putin2012.ru. Date of access: 13.02.2012.
  5. Weber M. Methodologische Schriften. Fr / M., 1968.
  6. Federal’nyy zakon RF ¹ 39 «Ob investitsionnoy deyatel’nosti v Rossiyskoy Federatsii, osushchestvlyaemoy v forme kapital’nykh vlozheniy» ot 25.02.1999 g [Federal Law ¹ 39 On Investment Activity in the Russian Federation in the Form of Capital Investments], 25.02.1999.

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COMPARATIVE ANALYSIS OF THE COMPUTER SYSTEMS USED IN TRAINING COURSES OF DESCRIPTIVE GEOMETRY ON THE EXAMPLE OF SOLVING THE PROBLEM OF SHADOWS ON THE FACADES OF BUILDINGS IN ORTHOGONAL PROJECTIONS

Vestnik MGSU 10/2015
  • Vavanov Dmitriy Alekseevich - Moscow State University of Civil Engineering (National Research University) (MGSU) Senior Lecturer, Department of Descriptive Geometry and Graphics, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Ivashchenko Andrey Viktorovich - Union of Designers of Moscow Candidate of Technical Sciences, designer, Union of Designers of Moscow, 90/17 Shosseynaya str., SFGA, room 206, 109383, Moscow, Russian Federation.

Pages 194-200

The article describes four software packages that allow considering the problem of constructing shadows in various aspects of application to the educational process. As a learning task we took shadow casting as the most illustrative task allowing to reproduce it in animation programs. As the main programs we considered AutoCAD 2010 and Compass 3D. For providing educational process (lecture material) we considered animation programs, in particular, 3ds Max. We also considered a program that generates a variety of examination options for students (Delphi and Mathematica), with the ability to quickly adjust the range of variable parameters of the objects. Due to the fact that it is impossible to observe the entire set of software products that allow you to tailor them to meet the challenges of descriptive geometry, the most popular programs in their class were chosen.

DOI: 10.22227/1997-0935.2015.10.194-200

References
  1. Arkhangel’skiy A.Ya. Programmirovanie v Delphi 7 [Programming in Delphi 7]. Moscow, OOO “Binom-Press” Publ., 2003, 1152 p. (In Russian)
  2. D’yakonov V.P. Mathematica 5/6/7 [Mathematica 5/6/7]. Moscow, DMK Press, 2010, 624 p. (In Russian)
  3. Kheyfets A.L., Loginovskiy A.N., Butorina I.N., Dubovikova E.P. 3D tekhnologiya postroeniya chertezha v AutoCAD [3D Technology of Drawing in AutoCAD]. Saint Petersburg, BKhV-Peterburg Publ., 2005, 248 p. (In Russian)
  4. Skiena S. The Algorithm Design Manual. Springer, 2nd ed. 2010, 730 p.
  5. Lebedeva I.M., Sinenko S.A. Avtomatizatsiya protsessa vizualizatsii proektnykh resheniy v srede AUTOCAD [Automation of the Process of Visualization Applicable to Design Solutions in the AutoCAD Environment]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013, no. 3, pp. 228—236. (In Russian)
  6. Monakhov B.E., Tel’noy V.I. Obuchenie i kontrol’ znaniy po nachertatel’noy geometrii s pomoshch’yu distantsionnykh obrazovatel’nykh tekhnologiy [Training and supervision of knowledge on descriptive geometry using distance learning technologies]. Sovremennye informatsionnye tekhnologii i IT-obrazovanie : sbornik izbrannykh trudov VI Mezhdunarodnoy nauchno-prakticheskoy konferentsii (Moskva, 12—14 dekabrya 2011 g.) [Modern Information Technologies and IT Education : Collection of Selected Works of the 6th International Science and Practice Conference (Moscow, December 12—14, 2011)]. Moscow, INTUIT.RU Publ., 2011, pp. 389—395. (In Russian)
  7. AutoCAD 2007. Kak postroit’ svoy mir. Kontseptual’noe proektirovanie i vizualizatsiya v AutoCAD [How to Build Your Own World. Conceptual Design and Visualization with AutoCAD]. Autodesk, 2006, 104 p. (In Russian)
  8. Zharkov N.V., Prokdi R.G., Finkov M.V. AutoCAD 2012. Moscow, Nauka i tekhnika Publ., 2012, 624 p. (In Russian)
  9. Lebedeva I.M. Ispol’zovanie AutoCAD dlya povysheniya naglyadnosti organizatsionno-tekhnologicheskogo proektirovaniya [Using AutoCad to Improve the Visibility of the Organizational Technological Design]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2014, no. 1, pp. 202—208. (In Russian)
  10. Klimacheva T.N. 2D-cherchenie v AutoCAD 2007—2010 [2D Drawing in AutoCAD 2007—2010]. Moscow, DMK-Press Publ., 2009, 554 p. (In Russian)
  11. Kal’nitskaya N.I., Kasymbaev B.A., Utina G.M. Sozdanie tverdotel’nykh modeley i chertezhey v srede AutoCAD [Creation of Solid Models and Drawings in AutoCAD]. Novosibirsk, NGTU Publ., 2009, 52 p. (In Russian)
  12. Poleshchuk N.N. AutoCAD. Razrabotka prilozheniy, nastroyka i adaptatsiya [AutoCAD. Application Development, Configuration and Adaptation]. Saint Petersburg, BKhV-Peterburg Publ., 2006, 992 p. (In Russian)
  13. Poleshchuk N.N., Loskutov P.V. AutoLISP i Visual LISP v srede AutoCAD [AutoLISP and Visual LISP in AutoCAD]. Saint Petersburg, BKhV-Peterburg Publ., 2006, 960 p. (In Russian)
  14. Pogorelov V. AutoCAD. Trekhmernoe modelirovanie i dizayn [Three-Dimensional Modeling and Design]. Saint Petersburg, BKhV-Peterburg Publ., 2003, 278 p. (In Russian)
  15. Gabidulin V.M. Trekhmernoe modelirovanie v AutoCAD 2012 [Three-Dimensional Modeling in AutoCAD 2012]. Moscow, DMK-Press Publ., 2011, 240 p. (In Russian)
  16. Tel’noy V.I., Tsareva M.V. Ispol’zovanie informatsionnykh tekhnologiy pri prepodavanii komp’yuternoy grafiki [Use of Information Technologies in Teaching Computer Graphics]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2012, no. 6, pp. 161—165. (In Russian)
  17. Onstott S. AutoCAD 2012 and AutoCAD LT 2012 Essentials. Sybex, 1 edition, 2011, 400 p.
  18. Sokolova T.Yu. AutoCAD 2012 na 100 % [AutoCAD 2012 by 100 %]. Saint Petersburg, Piter Publ., 2012, 576 p. (In Russian)
  19. Finkel’shteyn E. AutoCAD 2008 i AutoCAD LT 2008. Bibliya pol’zovatelya [AutoCAD 2008 and AutoCAD LT 2008. The Bible of a User]. Moscow, Dialektika Publ., 2007, 1312 p. (In Russian)
  20. Bondarenko S.V., Bondarenko M.Yu., German E.V. AutoCAD dlya arkhitektorov [AutoCAD for the Aarchitects]. Moscow, Dialektika Publ., 2009, 592 p. (In Russian)

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DETERMINATION AND VERIFICATION OF PARAMETERS OF THE SOFT SOIL MODEL WITH ACCOUNT FOR CREEP

Vestnik MGSU 6/2018 Volume 13
  • Ter-Martirosyan Armen Zavenovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor of the Department of Soil Mechanics and Geotechnics, Head of Research and Education Center «Geotechnics», Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Sidorov Vitaliy Valentinovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Assistant Professor, Department of Soil Mechanics and Geotechnics, Researcher at the Research and Education Center «Geotechnics», Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Ermoshina Lyubov’ Yur’evna - Moscow State University of Civil Engineering (National Research University) (MGSU) Engineer of Research and Education Center «Geotechnics», Moscow State University of Civil Engineering (National Research University) (MGSU), Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 697-708

Subject: a technique for optimizing parameters of the soft soil model with account for creep (soft Soil Creep model) using the PLAXIS 3D geotechnical software package is presented. The results of laboratory tests of soils are compared with the results of modeling in the software package, the process of optimizing the parameters obtained in the laboratory for use in software systems is described, and description of the process of testing the obtained parameters for adequacy (approximation to the behavior in the process of testing) is given. The obtained technique is relevant for application in geotechnical calculations. Research objectives: description of the technique for optimizing parameters of the soft soil model with creep taken into account using the PLAXIS 3D geotechnical software package; comparative analysis of the obtained results of laboratory tests of soils with simulation results in the software package. Materials and methods: when describing the technique for optimizing parameters of the soft soil model, taking into account the creep, numerical methods of solution were used. Laboratory studies of soils were carried out on certified equipment in accordance with the current set of regulations, and the numerical calculations were performed on a certified PLAXIS 3D software package. Results: the technique presented in the article on optimization of parameters of the soft soil model, taking into account the creep, allows us to estimate the degree of correctness of the soil massif behavior simulation in the software package relative to the behavior of the real soil in laboratory setup. This is necessary when this technique is used in geotechnical calculations, since it is very important for designers and analysists to know how well the soil behavior modeled with the software system can approximate the behavior of the soil during actual testing. Conclusions: the conducted comparative analysis and the proposed technique for optimizing parameters of the soft soil model with allowance for creep are obtained from the practical experience of works carried out for determining parameters of the described soil model and applying this model for geotechnical analysis of the stress-strain state of the bases of buildings and structures, being designed and under construction.

DOI: 10.22227/1997-0935.2018.6.697-708

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