ISO 11154:2023

International Standard   Current Edition · Approved on 02 March 2023

Road vehicles — Roof load carriers

ISO 11154:2023 Files

English 49 Pages
Current Edition
USD 227.36

ISO 11154:2023 Scope

This document applies for roof racks of passenger cars and light commercial vehicles up to a permissible total weight of 3,5 t according to ISO 1176 and specifies requirements and test methods for these. It is also valid for roof racks mounted on trailers.

So-called magnetic or suction foot racks, i.e. roof racks whose attachment on the vehicle is only via magnetic forces or vacuum, are excluded from this document.

This document provides safety-related requirements under consideration of the weight, centre of gravity, air resistance and other safety-relevant properties for structures of roof racks for which no other technical or statutory regulations otherwise apply and which are not listed in 4.2. In individual cases, test requirements can extend beyond these requirements.

Best Sellers

GSO 150-2:2013
 
Gulf Standard
Expiration dates for food products - Part 2 : Voluntary expiration dates
YSMO GSO 150-2:2020
GSO 150-2:2013 
Yemeni Technical Regulation
Expiration dates for food products - Part 2 : Voluntary expiration dates
GSO 9:2022
 
Gulf Technical Regulation
Labeling of prepackaged food stuffs
YSMO GSO 2055-1:2020
GSO 2055-1:2015 
Yemeni Standard
HALAL FOOD - Part 1 : General Requirements

Recently Published

ISO/TS 4966:2026
 
International Standard
Nanotechnologies — Silica nanomaterials — Specification of characteristics and measurement methods for nanoporous silica microparticles applied in liquid chromatography
ISO/TS 44005:2026
 
International Standard
Collaborative business relationship management system — Guidance on leadership for collaborative working
ISO 10325:2026
 
International Standard
Fibre ropes — High modulus polyethylene — 8-strand braided ropes, 12-strand braided ropes and covered ropes
ISO/IEC TS 42112:2026
 
International Standard
Information technology — Artificial intelligence — Guidance on machine learning model training efficiency optimization