analysis geological materials (17 Ergebnisse)

Soft Cover. Zustand: Very Good. Softcovers; ex-corporate library; minor shelfwear; o/w in very good condition.

Soft cover. Zustand: Very Good. ORIGINAL 1988 PUBLICATION; softcover; ex-library; in very good condition. Book.

No Binding. Zustand: Very Good. ORIGINAL 1986 Article, disbound from USGS Water-Supply Paper; no covers; in very good condition. Journal.

Zustand: Fair. Volume 51. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:0471713384.

Zustand: Fair. Volume 51. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:0471713384.

Hardcover. X, 421 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. w10004 471713384 Sprache: Englisch Gewicht in Gramm: 550.

Hardcover. XXIII + 454 S., Groß-Oktav, Hardcover/gebunden. Gerade, fest und ordentlich. Ehemaliges Bibliotheksexemplar in guter Erhaltung. Signaturen Buchrücken unten, unter durchsichtiger Klebefolie. Nur vorne Stempel/Einträge/Einschubtasche. Einband leicht aufgehellt. Contents: General Principles; The Elements. Sprache: Englisch (unbesetzt) 870 gr.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

23,5 x 15,5 cm. Zustand: Gut. XII, 463 Pages ; With Figures and Tables Original Hardcover (Pappband) mit Bibliotheksschild auf Vorderdeckel. Innen mit Bibliotheksstempeln, sehr sauberes Exemplar. Englische Sprache. - Original Hardboard with Library label on front cover. Inside with Library stamps, in very good condition. English Language B15-03-02C|S100 Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 826.

Taschenbuch. Zustand: Neu. Carbon Capture and Storage - theoretical knowledge and experiments | Analysis of CO2 adsorption in different geological materials and water samples | Tanja Tajnik | Taschenbuch | 96 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659620355 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: Good. 421 pp., hardcover, ex library, else text and binding clean and tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.

Cloth with dust jacket. Zustand: Gut. 454 S. Naturwissenschaft, Spektrochemie, spektrochemische Analyse Ex.-Libr., Good condition. Schutzumschlag mit Randläsuren, Klebereste von Schutzfolie 2nd ed. gebraucht; gut Ex.-Libr., Good condition. Schutzumschlag mit Randläsuren, Klebereste von Schutzfolie 2nd ed. ha1066818 Sprache: Englisch Gewicht in Gramm: 900.

Zustand: New. pp. 463.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | This book explores the effectiveness of Dynamic Image Analysis (DIA) in granulometry studies of sand, and presents criteria for soil characterization using DIA, including test parameters, specimen size, efficacy in gap-graded soils, and its limitations. DIA is a modern experimental technique used to analyze and classify particulate materials based on their size, shape, and other morphological properties. This method employs a high-frame-rate camera to capture images of individual sand particles, which have been transported and separated using various techniques. DIA generates both particle size and shape information by analyzing thousands to millions of particles, providing a quantitative statistical description of grain size and shape distribution within the specimen. The manuscript also offers a comprehensive examination of 2D and 3D particle size and shape descriptors. It demonstrates that there is no correlation between size and shape parameters in many sands and that shape descriptors can be reduced to four independent parameters representing sand granulometry at different scales. Additionally, the use of DIA in exploring the depositional history of two complex calcareous sands is presented. The manuscript presents the properties of 30 representative sands, including size and shape parameters, and fits them to statistical distributions. The investigated soils encompass both natural and machine-sorted materials, particles with regular and irregular shapes, as well as siliceous and calcareous sands. Physical granulometry of sand particles is compared using 2D, 3D DIA, and micro-computed tomography (¿CT). The work demonstrates that DIA offers significant advantages in terms of efficiency for 3D shape analysis while providing an adequate representation of particle sizes and shapes of most sands. Finally, the manuscript integrates classical geotechnical engineering with computer vision and artificial intelligence. Size and shape descriptors are utilized for sand classification through machine learning models. This work represents a crucial step toward the automatic machine classification of soils, potentially enabling on-site classification using smartphones equipped with high-resolution cameras.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the effectiveness of Dynamic Image Analysis (DIA) in granulometry studies of sand, and presents criteria for soil characterization using DIA, including test parameters, specimen size, efficacy in gap-graded soils, and its limitations. DIA is a modern experimental technique used to analyze and classify particulate materials based on their size, shape, and other morphological properties. This method employs a high-frame-rate camera to capture images of individual sand particles, which have been transported and separated using various techniques. DIA generates both particle size and shape information by analyzing thousands to millions of particles, providing a quantitative statistical description of grain size and shape distribution within the specimen. The manuscript also offers a comprehensive examination of 2D and 3D particle size and shape descriptors. It demonstrates that there is no correlation between size and shape parameters in many sands and that shape descriptors can be reduced to four independent parameters representing sand granulometry at different scales. Additionally, the use of DIA in exploring the depositional history of two complex calcareous sands is presented. The manuscript presents the properties of 30 representative sands, including size and shape parameters, and fits them to statistical distributions. The investigated soils encompass both natural and machine-sorted materials, particles with regular and irregular shapes, as well as siliceous and calcareous sands. Physical granulometry of sand particles is compared using 2D, 3D DIA, and micro-computed tomography (miCT). The work demonstrates that DIA offers significant advantages in terms of efficiency for 3D shape analysis while providing an adequate representation of particle sizes and shapes of most sands. Finally, the manuscript integrates classical geotechnical engineering with computer vision and artificial intelligence. Size and shape descriptors are utilized for sand classification through machine learning models. This work represents a crucial step toward the automatic machine classification of soils, potentially enabling on-site classification using smartphones equipped with high-resolution cameras.

Hardcover. Zustand: Brand New. 371 pages. 9.26x6.10x9.49 inches. In Stock.