Tài liệu "Autodesk Robot Structural Analysis – Tính toán cốt thép cho các cấu kiện - Phần 4: Tính toán thiết kế bê tông cốt thép - Nguyễn Văn Thiệp" trình bày các nội dung về thiết lập tiêu chuẩn cho cấu kiện bê tông cốt thép, tính toán cốt thép cho toàn bộ các cấu kiện trong công trình. Tham khảo nội dung tài liệu để nắm bắt nội dung chi tiết.
Thiết kế bê tông cốt thép khung 2D, thiết kế thép khung 2D, phân tích đàn hồi dẻo, tải trọng di chuyển khung 2D, tải trọng di chuyển khung,... là những nội dung chính trong tài liệu "Autodesk® Robot™ Structural Analysis Professional 2010 Training Manual - Metric Version". Mời các bạn cùng tham khảo để có thêm tài liệu phục vụ nhu cầu học tập và nghiên cứu.
Autodesk Robot™ Structural Analysis Professional software is a collaborative, versatile, and faster software application that can help you compete and win in the global economy. Purpose-built for BIM, Autodesk Robot Structural Analysis Professional calculates even your more complex models with powerful finite element auto-meshing, nonlinear algorithms, and a comprehensive collection of design codes to help you achieve results in minutes, not hours.
Phần 1 cuốn sách "Thiết kế kiến trúc - Xây dựng: Robot Structural analysis dành cho người tự học" giới thiệu tới người đọc các bài tập thiết kế khung 2D, khung thép 2D, phân tích lực đàn hồi, tải di động - Khung 2D, tải di động - KHung 3D. Mời các bạn cùng tham khảo nội dung chi tiết.
(BQ) The objective of ebook Structural analysis is to develop an understanding of the basic principles of structural analysis. Emphasizing the intuitive classical ap proach, structural analysis covers the analysis of statically determinate and indeterminate beams, trusses, and rigid frames. It also presents an introduction to the matrix analysis of structures.
We propose a hybrid approach to coordinate structure analysis that combines a simple grammar to ensure consistent global structure of coordinations in a sentence, and features based on sequence alignment to capture local symmetry of conjuncts. The weight of the alignmentbased features, which in turn determines the score of coordinate structures, is optimized by perceptron training on a given corpus. A bottom-up chart parsing algorithm efﬁciently ﬁnds the best scoring structure, taking both nested or nonoverlapping ﬂat coordinations into account. ...
Maintaining high annotation consistency in large corpora is crucial for statistical learning; however, such work is hard, especially for tasks containing semantic elements. This paper describes predicate argument structure analysis using transformation-based learning. An advantage of transformation-based learning is the readability of learned rules.
Coordination disambiguation remains a difﬁcult sub-problem in parsing despite the frequency and importance of coordination structures. We propose a method for disambiguating coordination structures. In this method, dual decomposition is used as a framework to take advantage of both HPSG parsing and coordinate structure analysis with alignment-based local features. We evaluate the performance of the proposed method on the Genia corpus and the Wall Street Journal portion of the Penn Treebank.
This paper describes a dependency structure analysis of Japanese sentences based on the maximum entropy models. Our model is created by learning the weights of some features from a training corpus to predict the dependency between bunsetsus or phrasal units. The dependency accuracy of our system is 87.2% using the Kyoto University corpus. We discuss the contribution of each feature set and the relationship between the number of training data and the accuracy.
This paper presents a predicate-argument structure analysis that simultaneously conducts zero-anaphora resolution. By adding noun phrases as candidate arguments that are not only in the sentence of the target predicate but also outside of the sentence, our analyzer identiﬁes arguments regardless of whether they appear in the sentence or not. Because we adopt discriminative models based on maximum entropy for argument identiﬁcation, we can easily add new features. We add language model scores as well as contextual features.
Japanese dependency structure is usually represented by relationships between phrasal units called bunsetsus. One of the biggest problems with dependency structure analysis in spontaneous speech is that clause boundaries are ambiguous. This paper describes a method for detecting the boundaries of quotations and inserted clauses and that for improving the dependency accuracy by applying the detected boundaries to dependency structure analysis.
Topic models have been successfully applied to many document analysis tasks to discover topics embedded in text. However, existing topic models generally cannot capture the latent topical structures in documents. Since languages are intrinsically cohesive and coherent, modeling and discovering latent topical transition structures within documents would be beneﬁcial for many text analysis tasks.
Structure of carrageenan extracted from kappaphycus alvalezii was elucidated. Here, 1D and 2D NMR, including 1 H, 13 C, DEPT, 1 H- 1 H COSY, 1 H- 1 H TOCSY and HMQC, were performed to determine the structure of galactopyranosyl residues. Electrospray ionization spectrometry (ESIMS) was used to determine chair sequence of the polysaccharide.
The Finite element approach is actually a numerical method for solving differential equations generated by theories of mechanics such as elasticity theory and strength of materials, depends heavily on the processing power of computers and is more applicable to structures of arbitrary size and complexity.
This paper outlines research on processing strategies being developed for a language understanding systerN, designed to interpret the structure of arguments. For the system, arguments are viewed as trees, with claims as fathers to their evidence. Then understanding becomes a problem of developing a representative argtmlent tree, by locating each proposition of the argument at its appropriate place.
Autodesk Robot Structural Analysis – Thực hành kết cấu khung thép
Mục đích của bài này là trình bày cách định nghĩa, phân tích và báo cáo sự phát sing của một khung thép đơn giản trong Robot.
1 BẮT ĐẦU DỰ ÁN MỚI 1.1 Tạo dự án 1. Ra lệnh bằng một trong các cách sau: • • • 2. Trên trình đơn: File New project. Thanh công cụ: Bàn phím: Ctrl+N.
Các mô đun tính toán hiện ra. Xem chức năng của từng mô đun tại bài “Giới thiệu tổng quát”.
With many 'flexible' structures such as large span bridges, tall buildings, towers, cable roofs, etc., being built, the need to understand the dynamics behavior of structures has become a necessity for many engineers. The recent problems with the millinium bridge is simply another reminder. The many devastating earthquakes in many parts of the world leading to severe loss of life in densely inhabited urban areas alos has underlined the need for a fundamental understanding of structural behavior.
The analysis model of a structure includes nodes (joints), elements and boundary
conditions. Finite elements are used in data entry, representing members of the
structure for numerical analysis, and nodes define the locations of such
members. Boundary conditions represent the status of connections between the
structure and neighboring structures such as foundations.
A structural analysis refers to mathematical simulations of a numerical analysis model
of a structure.
Nối tiếp nội dung phần 1, phần 2 cuốn sách giới thiệu tới người đọc các bài tập kết cấu thép 3D - Nối thép, khung thép 3D dạng khối, phân tích sàn bê tông cốt thép, cấu trúc khối, cấu trúc vỏ. Mời các bạn cùng tham khảo nội dung chi tiết.