Lecture

Frame Resolution: Trellis Structure

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In course

CIVIL-123: Structures II

Le cours permet de comprendre le fonctionnement, déterminer les efforts et de dimensionner les structures en treillis, en poutre, en dalle et en cadre. Le cours se base sur la résolution des efforts par la statique graphique. ...

Description

This lecture covers the resolution of a frame as a trellis structure, focusing on concepts such as load distribution, compression, and traction. The instructor explains the use of applets to model frame behavior and discusses different types of frames with varying loads and support conditions.

Instructor

Olivier Burdet

Born 1960, Olivier Burdet has received his Diploma in Civil Engineering from EPFL in 1983. After a couple years in engineering practice, he went back to studying at the university of Texas at Austin, where he received his PhD in 1990. Returning to EPFL in 1990, he is now a senior researcher and a lecturer in the field of reinforced concrete structures. He is also actively involved in the development of internet-based course contents and MOOCs.

Official source

Related concepts (30)

Lossless compression

Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossy compression permits reconstruction only of an approximation of the original data, though usually with greatly improved compression rates (and therefore reduced media sizes).

Lossy compression

In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on this page show how higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data.

Compression artifact

A compression artifact (or artefact) is a noticeable distortion of media (including , audio, and video) caused by the application of lossy compression. Lossy data compression involves discarding some of the media's data so that it becomes small enough to be stored within the desired or transmitted (streamed) within the available bandwidth (known as the data rate or bit rate). If the compressor cannot store enough data in the compressed version, the result is a loss of quality, or introduction of artifacts.

Data compression

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

Image compression

Image compression is a type of data compression applied to s, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data. Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics.

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